Workload: 100%
Data & Analytics is one of the core strategic growth areas at KPMG. As a member of the Data & Analytics team you will work in a multi-disciplinary, multi-cultural team and help our clients extract insights from their data.
Location: Zurich Start date: As soon as possible or by arrangement
Workload: 100%
The link to this job has been sent to the email address provided.
Responsibilities & Profile
Your responsibilities
Bring in proven hands-on experience extracting, wrangling and visualizing data
Major role in driving the development and delivery of a range of analytics solutions, either as part of client engagements or internal projects which you will manage
Gain exposure to different industries and functional areas (marketing, sales, operations, finance)
Identify and understand our clients' most challenging problems
Gain insights into the varied IT systems landscapes of our national and international clients. Support the team in the integration of our solutions in existing client business processes
Coach, supervise, mentor a team of data analytics specialists
Your profile
BSc or MSc in Computer Science, Engineering or Business Administration Degree with strong technology orientation are also welcome
More than 5 years of professional experience, ideally within a Big 4 company or a consulting firm
Experience with relational databases and SQL
Knowledge with a programming language (e.g. Python, R) is a plus
Solid familiarity with one or multiple mainstream ERP systems (e.g. SAP R3/ECC/HANA, Oracle, MS Navision, etc.) is beneficial
Ability to build professional looking and engaging data visualization dashboards with market leading BI tools (e.g. Tableau, Qlik, PowerBI); Experience in Process Mining is a plus
Solution-oriented person that can frame client challenges in an analytics use case and define the required activities to bring the use case to life
Fluency in English and German
Why KPMG
Benefits
Targeted career development and internal and external attractive training and further education options
Possibilities for global and Switzerland-wide mobility across all sectors and locations
25-30 days of leave, option for compensation of overtime (with the exception of management staff); management staff receive an additional 4 to 6 days of leave
Maternity leave of 16 weeks, paternity leave of 5 days and free advice from the external family service
Ancillary benefits may apply to certain positions (e.g. fixed-contract positions). Your salary in this position will be in line with industry standards and will depend on your professional experience and education. During the recruitment process we will negotiate your salary with you according to our guidelines. Any salary ranges published on external platforms for this position have not been agreed with KPMG and do not apply.
More
KPMG as an employer
Your future team
At KPMG, your possibilities are as manifold as the people who work here! This is why you can count on receiving continuous training and a value-based corporate culture within our international network. KPMG is a great advocate for career development, always keeping in mind the person's needs and potential.
More
Contact person
David Boll
Human Resources +41 58 249 67 21 kpmg.ch/careers
29/03/2019
Full time
Workload: 100%
Data & Analytics is one of the core strategic growth areas at KPMG. As a member of the Data & Analytics team you will work in a multi-disciplinary, multi-cultural team and help our clients extract insights from their data.
Location: Zurich Start date: As soon as possible or by arrangement
Workload: 100%
The link to this job has been sent to the email address provided.
Responsibilities & Profile
Your responsibilities
Bring in proven hands-on experience extracting, wrangling and visualizing data
Major role in driving the development and delivery of a range of analytics solutions, either as part of client engagements or internal projects which you will manage
Gain exposure to different industries and functional areas (marketing, sales, operations, finance)
Identify and understand our clients' most challenging problems
Gain insights into the varied IT systems landscapes of our national and international clients. Support the team in the integration of our solutions in existing client business processes
Coach, supervise, mentor a team of data analytics specialists
Your profile
BSc or MSc in Computer Science, Engineering or Business Administration Degree with strong technology orientation are also welcome
More than 5 years of professional experience, ideally within a Big 4 company or a consulting firm
Experience with relational databases and SQL
Knowledge with a programming language (e.g. Python, R) is a plus
Solid familiarity with one or multiple mainstream ERP systems (e.g. SAP R3/ECC/HANA, Oracle, MS Navision, etc.) is beneficial
Ability to build professional looking and engaging data visualization dashboards with market leading BI tools (e.g. Tableau, Qlik, PowerBI); Experience in Process Mining is a plus
Solution-oriented person that can frame client challenges in an analytics use case and define the required activities to bring the use case to life
Fluency in English and German
Why KPMG
Benefits
Targeted career development and internal and external attractive training and further education options
Possibilities for global and Switzerland-wide mobility across all sectors and locations
25-30 days of leave, option for compensation of overtime (with the exception of management staff); management staff receive an additional 4 to 6 days of leave
Maternity leave of 16 weeks, paternity leave of 5 days and free advice from the external family service
Ancillary benefits may apply to certain positions (e.g. fixed-contract positions). Your salary in this position will be in line with industry standards and will depend on your professional experience and education. During the recruitment process we will negotiate your salary with you according to our guidelines. Any salary ranges published on external platforms for this position have not been agreed with KPMG and do not apply.
More
KPMG as an employer
Your future team
At KPMG, your possibilities are as manifold as the people who work here! This is why you can count on receiving continuous training and a value-based corporate culture within our international network. KPMG is a great advocate for career development, always keeping in mind the person's needs and potential.
More
Contact person
David Boll
Human Resources +41 58 249 67 21 kpmg.ch/careers
Introduction
Hours: 40
Competitive salary a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019.
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors
Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
25/03/2019
Full time
Introduction
Hours: 40
Competitive salary a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019.
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors
Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
22/03/2019
Full time
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
Gesucht: strukturierter, kundenorientierter Datenenthusiast mit Gespür für die Komplexität von Produktdaten
Wir haben Onedot gegründet, weil wir glauben, dass Daten über verschiedene Quellen und Organisationen hinweg besser konsumierbar sein sollen. In Realität leben wir in einer Welt voller unstrukturierter und verteilten Daten, was uns daran hindert, die wichtigsten globalen Probleme in verschiedensten Industrien zu lösen.
Onedot bietet eine dynamische, flexible und inspirierende Arbeitskultur mit viel Platz für persönliche Entwicklung und Autonomie, wo Du unser Unternehmen aktiv mitgestalten und einen substantiellen Beitrag zu unserem Erfolg leisten kannst.
In dieser Rolle stehst Du im Zentrum unseres Unternehmens und arbeitest zusammen mit unseren Kunden, deren Produktdaten und mit unserer proprietären Technologie. Du hast die Erfahrung und das Gespür, Probleme in Daten schnell zu identifizieren, das Potential das in Daten steckt rasch zu erkennen, und bist stark darin, Kundenanforderungen auf unsere Technologie abzubilden und erfolgreich umzusetzen. Strukturiertes Denken, exakte Arbeitsweise sowie ein ausgeprägter Qualitätssinn sind für Dich selbstverständlich. Du arbeitest selbständig und managest Kundenprojekte autonom, wobei die Interaktion mit dem Kunden und das Verständnis für deren Herausforderungen im Vordergrund steht. Modernste Technologie ist dein Ding, und Du verstehst es bestens komplexe Sachverhalte auf einfache Art kundengerecht aufzuarbeiten. In dieser Funktion arbeitest Du eng mit verschiedensten Teams unseres Unternehmens zusammen, von Verkauf bis zu Produktmanagement und Engineering.
Onedot entwickelt modernste Machine Learning Algorithmen, probabilistische Methoden und statistische Textanalysen, um unstrukturierte Daten automatisch in strukturierte Information zu verwandeln. Unsere wegweisende Software erzielt Resultate mit übermenschlicher Präzision, macht heutige Datenstandards überflüssig und beschleunigt das Wachstum von Organisationen in allen Industrien.
Onedot ist ein Startup welches von führenden Venture Capital Firmen und Weltklasse-Unternehmern unterstützt wird.
Dein Wirkungsbereich:
Du führst Kundenprojekte selbständig durch mit Hilfe von Onedot Technologie (automatisiertes Schema Mapping, Datenintegration, Produktklassifikation, Segmentierung, Datenharmonisierung)
Du analysierst Kundenanforderungen, bildest diese auf unsere Technologie ab und baust die gesamten Datenprozessierungs-Pipelines auf
Du verantwortest und managst den Projektumfang, Projektablauf, Kundenkommunikation, Datenlieferungen und Kundenfeedback auf Kundenprojekten
Du führst selbständig Qualitätssicherung, Nachbearbeitung und Reporting auf Kundendaten durch
Du verbesserst die Automatisierung unserer industrialisierten Datenprozessierungs-Pipelines kontinuierlich
Du arbeitest mit Verkauf, Produktmanagement und Produktentwicklung zusammen um die Onedot Technologie weiterzuentwickeln
Unsere Voraussetzungen:
Schweizer Pass, EU Pass oder gültige Arbeitserlaubnis für die Schweiz
Ausgezeichnete Deutsch und English Sprachkenntnisse (mündlich und schriftlich), C1 oder höher
Minimum 3 Jahre Erfahrung als BI Analyst, ETL Analyst, Datenanalyst oder Data Scientist
Erfahrungen im Management von Datenprojekten und Kundenreporting
Gute Kenntnisse in Scriptsprachen (Bash, Python oder R), Datenformaten (Excel, CSV, XML, JSON), Datenbanken (SQL, NoSQL) und Office Software (Excel)
Affinität zu E-Commerce, Produktdaten und Enterprise Software
Erfahrung in ETL Software, Daten Pipelines und Data Warehousing
Quantifizierbare Erfolge in der Veredelung von Daten unter hohen Datenqualitätsstandards
Du bist ein(e) Grossdenker(in), lebst eine Getting-Things-Done Mentalität und hast Spass in einer schnell getakteten Umgebung zu arbeiten!
Unsere Benefits:
Leistungsorientierte Kompensation, weil wir gute Arbeit, die viel Impact generiert gerne belohnen
Flexible Arbeitszeiten, da deine Resultate, nicht nur Präsenzzeit zählen
Gelegentliches Arbeiten von zu Hause, damit Du konzentriert und produktiv sein kannst
Team aus verschiedensten Nationalitäten, sodass wir voneinander lernen können und gemeinsam vorwärts kommen
Cooles Büro mit viel Platz, weil wir es gerne gemütlich und komfortabel haben
Feine Snacks, Getränke, Kaffee und andere Annehmlichkeiten sind bei uns inbegriffen
Häufige Teamevents, um uns auch persönlich besser kennen zu lernen
Geplante Ausbildungen und Trainings, damit wir unseren Horizont immer wieder erweitern
Gute Unfallversicherung, für deine persönliche Gesundheit
Grosszügige Vorsorgeleistungen, damit auch in Zukunft für Dich gesorgt ist
Im Rahmen unseres Engagements für die Vielfalt unserer Firmenkultur engagiert sich Onedot für gleiche Beschäftigungsmöglichkeiten ohne Rücksicht auf Rasse, Hautfarbe, nationale Herkunft, ethnische Zugehörigkeit, Geschlecht, Behinderung, sexuelle Orientierung, Geschlechtsidentität oder Religion.
Dies ist eine 100% Stelle in unserem Hauptquartier in Schlieren/Zürich.
Bewirb Dich noch heute unter https://www.onedot.com/jobs und werde Teil der Onedot Erfolgsgeschichte!
06/03/2019
Full time
Gesucht: strukturierter, kundenorientierter Datenenthusiast mit Gespür für die Komplexität von Produktdaten
Wir haben Onedot gegründet, weil wir glauben, dass Daten über verschiedene Quellen und Organisationen hinweg besser konsumierbar sein sollen. In Realität leben wir in einer Welt voller unstrukturierter und verteilten Daten, was uns daran hindert, die wichtigsten globalen Probleme in verschiedensten Industrien zu lösen.
Onedot bietet eine dynamische, flexible und inspirierende Arbeitskultur mit viel Platz für persönliche Entwicklung und Autonomie, wo Du unser Unternehmen aktiv mitgestalten und einen substantiellen Beitrag zu unserem Erfolg leisten kannst.
In dieser Rolle stehst Du im Zentrum unseres Unternehmens und arbeitest zusammen mit unseren Kunden, deren Produktdaten und mit unserer proprietären Technologie. Du hast die Erfahrung und das Gespür, Probleme in Daten schnell zu identifizieren, das Potential das in Daten steckt rasch zu erkennen, und bist stark darin, Kundenanforderungen auf unsere Technologie abzubilden und erfolgreich umzusetzen. Strukturiertes Denken, exakte Arbeitsweise sowie ein ausgeprägter Qualitätssinn sind für Dich selbstverständlich. Du arbeitest selbständig und managest Kundenprojekte autonom, wobei die Interaktion mit dem Kunden und das Verständnis für deren Herausforderungen im Vordergrund steht. Modernste Technologie ist dein Ding, und Du verstehst es bestens komplexe Sachverhalte auf einfache Art kundengerecht aufzuarbeiten. In dieser Funktion arbeitest Du eng mit verschiedensten Teams unseres Unternehmens zusammen, von Verkauf bis zu Produktmanagement und Engineering.
Onedot entwickelt modernste Machine Learning Algorithmen, probabilistische Methoden und statistische Textanalysen, um unstrukturierte Daten automatisch in strukturierte Information zu verwandeln. Unsere wegweisende Software erzielt Resultate mit übermenschlicher Präzision, macht heutige Datenstandards überflüssig und beschleunigt das Wachstum von Organisationen in allen Industrien.
Onedot ist ein Startup welches von führenden Venture Capital Firmen und Weltklasse-Unternehmern unterstützt wird.
Dein Wirkungsbereich:
Du führst Kundenprojekte selbständig durch mit Hilfe von Onedot Technologie (automatisiertes Schema Mapping, Datenintegration, Produktklassifikation, Segmentierung, Datenharmonisierung)
Du analysierst Kundenanforderungen, bildest diese auf unsere Technologie ab und baust die gesamten Datenprozessierungs-Pipelines auf
Du verantwortest und managst den Projektumfang, Projektablauf, Kundenkommunikation, Datenlieferungen und Kundenfeedback auf Kundenprojekten
Du führst selbständig Qualitätssicherung, Nachbearbeitung und Reporting auf Kundendaten durch
Du verbesserst die Automatisierung unserer industrialisierten Datenprozessierungs-Pipelines kontinuierlich
Du arbeitest mit Verkauf, Produktmanagement und Produktentwicklung zusammen um die Onedot Technologie weiterzuentwickeln
Unsere Voraussetzungen:
Schweizer Pass, EU Pass oder gültige Arbeitserlaubnis für die Schweiz
Ausgezeichnete Deutsch und English Sprachkenntnisse (mündlich und schriftlich), C1 oder höher
Minimum 3 Jahre Erfahrung als BI Analyst, ETL Analyst, Datenanalyst oder Data Scientist
Erfahrungen im Management von Datenprojekten und Kundenreporting
Gute Kenntnisse in Scriptsprachen (Bash, Python oder R), Datenformaten (Excel, CSV, XML, JSON), Datenbanken (SQL, NoSQL) und Office Software (Excel)
Affinität zu E-Commerce, Produktdaten und Enterprise Software
Erfahrung in ETL Software, Daten Pipelines und Data Warehousing
Quantifizierbare Erfolge in der Veredelung von Daten unter hohen Datenqualitätsstandards
Du bist ein(e) Grossdenker(in), lebst eine Getting-Things-Done Mentalität und hast Spass in einer schnell getakteten Umgebung zu arbeiten!
Unsere Benefits:
Leistungsorientierte Kompensation, weil wir gute Arbeit, die viel Impact generiert gerne belohnen
Flexible Arbeitszeiten, da deine Resultate, nicht nur Präsenzzeit zählen
Gelegentliches Arbeiten von zu Hause, damit Du konzentriert und produktiv sein kannst
Team aus verschiedensten Nationalitäten, sodass wir voneinander lernen können und gemeinsam vorwärts kommen
Cooles Büro mit viel Platz, weil wir es gerne gemütlich und komfortabel haben
Feine Snacks, Getränke, Kaffee und andere Annehmlichkeiten sind bei uns inbegriffen
Häufige Teamevents, um uns auch persönlich besser kennen zu lernen
Geplante Ausbildungen und Trainings, damit wir unseren Horizont immer wieder erweitern
Gute Unfallversicherung, für deine persönliche Gesundheit
Grosszügige Vorsorgeleistungen, damit auch in Zukunft für Dich gesorgt ist
Im Rahmen unseres Engagements für die Vielfalt unserer Firmenkultur engagiert sich Onedot für gleiche Beschäftigungsmöglichkeiten ohne Rücksicht auf Rasse, Hautfarbe, nationale Herkunft, ethnische Zugehörigkeit, Geschlecht, Behinderung, sexuelle Orientierung, Geschlechtsidentität oder Religion.
Dies ist eine 100% Stelle in unserem Hauptquartier in Schlieren/Zürich.
Bewirb Dich noch heute unter https://www.onedot.com/jobs und werde Teil der Onedot Erfolgsgeschichte!
Gesucht: strukturierter, kundenorientierter Datenenthusiast mit erster Erfahrung in Datenverarbeitung
Wir haben Onedot gegründet, weil wir glauben, dass Daten über verschiedene Quellen und Organisationen hinweg besser konsumierbar sein sollen. In Realität leben wir in einer Welt voller unstrukturierter und verteilten Daten, was uns daran hindert, die wichtigsten globalen Probleme in verschiedensten Industrien zu lösen.
Onedot bietet eine dynamische, flexible und inspirierende Arbeitskultur mit viel Platz für persönliche Entwicklung und Autonomie, wo Du unser Unternehmen aktiv mitgestalten und einen substantiellen Beitrag zu unserem Erfolg leisten kannst.
Als Data Management Intern stehst Du im Zentrum unseres Unternehmens und arbeitest zusammen mit unseren Kunden, deren Produktdaten und mit unserer proprietären Technologie. Du hast bereits erste Erfahrungen gemacht, Probleme in Daten schnell zu identifizieren und das Potential welches in Daten steckt rasch zu erkennen. Strukturiertes Denken, selbständige exakte Arbeitsweise sowie ein ausgeprägter Qualitätssinn sind für Dich selbstverständlich. Modernste Technologie ist dein Ding, und Du verstehst es bestens komplexe Sachverhalte auf einfache Art umzusetzen.
Onedot entwickelt modernste Machine Learning Algorithmen, probabilistische Methoden und statistische Textanalysen, um unstrukturierte Daten automatisch in strukturierte Information zu verwandeln. Unsere wegweisende Software erzielt Resultate mit übermenschlicher Präzision, macht heutige Datenstandards überflüssig und beschleunigt das Wachstum von Organisationen in allen Industrien.
Onedot ist ein Startup welches von führenden Venture Capital Firmen und Weltklasse-Unternehmern unterstützt wird.
Dein Wirkungsbereich:
Du unterstützt Kundenprojekte selbständig durch mit Hilfe von Onedot Technologie (automatisiertes Schema Mapping, Datenintegration, Produktklassifikation, Segmentierung, Datenharmonisierung)
Du analysierst Kundenanforderungen, bildest diese auf unsere Technologie ab und hilfst die gesamten Datenprozessierungs-Pipelines aufzubauen
Du führst selbständig Qualitätssicherung, Nachbearbeitung und Reporting auf Kundendaten durch
Du verbesserst die Automatisierung unserer industrialisierten Datenprozessierungs-Pipelines kontinuierlich
Du arbeitest mit Verkauf, Produktmanagement und Produktentwicklung zusammen
Unsere Voraussetzungen:
Erste Erfahrungen im Bereich Datenverarbeitung oder Reporting
Kenntnisse in Scriptsprachen (Bash, Python oder R), Datenformaten (Excel, CSV, XML, JSON) und Office Software (Excel)
Ausgezeichnete Deutsch- und Englischkenntnisse, mündlich und schriftlich, C2 oder höher
Affinität zu E-Commerce, Produktdaten und Enterprise Software
Du bist ein(e) Grossdenker(in), lebst eine Getting-Things-Done Mentalität und hast Spass in einer schnell getakteten Umgebung zu arbeiten!
Unsere Benefits:
Leistungsorientierte Kompensation, weil wir gute Arbeit, die viel Impact generiert gerne belohnen
Flexible Arbeitszeiten, da deine Resultate, nicht nur Präsenzzeit zählen
Gelegentliches Arbeiten von zu Hause, damit Du konzentriert und produktiv sein kannst
Team aus verschiedensten Nationalitäten, sodass wir voneinander lernen können und gemeinsam vorwärts kommen
Cooles Büro mit viel Platz, weil wir es gerne gemütlich und komfortabel haben
Feine Snacks, Getränke, Kaffee und andere Annehmlichkeiten sind bei uns inbegriffen
Häufige Teamevents, um uns auch persönlich besser kennen zu lernen
Geplante Ausbildungen und Trainings, damit wir unseren Horizont immer wieder erweitern
Im Rahmen unseres Engagements für die Vielfalt unserer Firmenkultur engagiert sich Onedot für gleiche Beschäftigungsmöglichkeiten ohne Rücksicht auf Rasse, Hautfarbe, nationale Herkunft, ethnische Zugehörigkeit, Geschlecht, Behinderung, sexuelle Orientierung, Geschlechtsidentität oder Religion.
Dies ist eine 80%-100% Praktikumsstelle in unserem Hauptquartier in Schlieren/Zürich.
Bewirb Dich noch heute und werde Teil der Onedot Erfolgsgeschichte!
18/04/2019
Internship
Gesucht: strukturierter, kundenorientierter Datenenthusiast mit erster Erfahrung in Datenverarbeitung
Wir haben Onedot gegründet, weil wir glauben, dass Daten über verschiedene Quellen und Organisationen hinweg besser konsumierbar sein sollen. In Realität leben wir in einer Welt voller unstrukturierter und verteilten Daten, was uns daran hindert, die wichtigsten globalen Probleme in verschiedensten Industrien zu lösen.
Onedot bietet eine dynamische, flexible und inspirierende Arbeitskultur mit viel Platz für persönliche Entwicklung und Autonomie, wo Du unser Unternehmen aktiv mitgestalten und einen substantiellen Beitrag zu unserem Erfolg leisten kannst.
Als Data Management Intern stehst Du im Zentrum unseres Unternehmens und arbeitest zusammen mit unseren Kunden, deren Produktdaten und mit unserer proprietären Technologie. Du hast bereits erste Erfahrungen gemacht, Probleme in Daten schnell zu identifizieren und das Potential welches in Daten steckt rasch zu erkennen. Strukturiertes Denken, selbständige exakte Arbeitsweise sowie ein ausgeprägter Qualitätssinn sind für Dich selbstverständlich. Modernste Technologie ist dein Ding, und Du verstehst es bestens komplexe Sachverhalte auf einfache Art umzusetzen.
Onedot entwickelt modernste Machine Learning Algorithmen, probabilistische Methoden und statistische Textanalysen, um unstrukturierte Daten automatisch in strukturierte Information zu verwandeln. Unsere wegweisende Software erzielt Resultate mit übermenschlicher Präzision, macht heutige Datenstandards überflüssig und beschleunigt das Wachstum von Organisationen in allen Industrien.
Onedot ist ein Startup welches von führenden Venture Capital Firmen und Weltklasse-Unternehmern unterstützt wird.
Dein Wirkungsbereich:
Du unterstützt Kundenprojekte selbständig durch mit Hilfe von Onedot Technologie (automatisiertes Schema Mapping, Datenintegration, Produktklassifikation, Segmentierung, Datenharmonisierung)
Du analysierst Kundenanforderungen, bildest diese auf unsere Technologie ab und hilfst die gesamten Datenprozessierungs-Pipelines aufzubauen
Du führst selbständig Qualitätssicherung, Nachbearbeitung und Reporting auf Kundendaten durch
Du verbesserst die Automatisierung unserer industrialisierten Datenprozessierungs-Pipelines kontinuierlich
Du arbeitest mit Verkauf, Produktmanagement und Produktentwicklung zusammen
Unsere Voraussetzungen:
Erste Erfahrungen im Bereich Datenverarbeitung oder Reporting
Kenntnisse in Scriptsprachen (Bash, Python oder R), Datenformaten (Excel, CSV, XML, JSON) und Office Software (Excel)
Ausgezeichnete Deutsch- und Englischkenntnisse, mündlich und schriftlich, C2 oder höher
Affinität zu E-Commerce, Produktdaten und Enterprise Software
Du bist ein(e) Grossdenker(in), lebst eine Getting-Things-Done Mentalität und hast Spass in einer schnell getakteten Umgebung zu arbeiten!
Unsere Benefits:
Leistungsorientierte Kompensation, weil wir gute Arbeit, die viel Impact generiert gerne belohnen
Flexible Arbeitszeiten, da deine Resultate, nicht nur Präsenzzeit zählen
Gelegentliches Arbeiten von zu Hause, damit Du konzentriert und produktiv sein kannst
Team aus verschiedensten Nationalitäten, sodass wir voneinander lernen können und gemeinsam vorwärts kommen
Cooles Büro mit viel Platz, weil wir es gerne gemütlich und komfortabel haben
Feine Snacks, Getränke, Kaffee und andere Annehmlichkeiten sind bei uns inbegriffen
Häufige Teamevents, um uns auch persönlich besser kennen zu lernen
Geplante Ausbildungen und Trainings, damit wir unseren Horizont immer wieder erweitern
Im Rahmen unseres Engagements für die Vielfalt unserer Firmenkultur engagiert sich Onedot für gleiche Beschäftigungsmöglichkeiten ohne Rücksicht auf Rasse, Hautfarbe, nationale Herkunft, ethnische Zugehörigkeit, Geschlecht, Behinderung, sexuelle Orientierung, Geschlechtsidentität oder Religion.
Dies ist eine 80%-100% Praktikumsstelle in unserem Hauptquartier in Schlieren/Zürich.
Bewirb Dich noch heute und werde Teil der Onedot Erfolgsgeschichte!
We are looking for a Data Engineer for one of our Geneva based customers.
Responsibilities:
Strengthen agile development capacity in the database
Participation in the evolution of databases, and modeling of the HUB and Datawarehouse
Develop and support ETL feed
Analyze, model and integrate external data sources
Database support for application development and web services
Implementation of "best practices" for the data model, the database life cycle and the testing practices
Profile
Required Skills :
Very good knowledge of relational databases, SQL, optimization of SQL queries, PL / SQL.
Very good knowledge of Oracle.
Very good knowledge of HUB and DataWareHouse databases, with practical experience.
Very good ability to model financial data, alternative funds an asset.
Good knowledge of agile principles. Experience in Scrum practice an asset.
Knowledge of Informatica an asset.
Knowledge of Sisense an asset
Languages:
French mother language
English: advanced
Training and qualifications :
EPF diploma, HES, university degree or training deemed equivalent.
Home in Switzerland for more than 3 years required. Activity rate: 100% Date taken from the position: as soon as possible
16/04/2019
Full time
We are looking for a Data Engineer for one of our Geneva based customers.
Responsibilities:
Strengthen agile development capacity in the database
Participation in the evolution of databases, and modeling of the HUB and Datawarehouse
Develop and support ETL feed
Analyze, model and integrate external data sources
Database support for application development and web services
Implementation of "best practices" for the data model, the database life cycle and the testing practices
Profile
Required Skills :
Very good knowledge of relational databases, SQL, optimization of SQL queries, PL / SQL.
Very good knowledge of Oracle.
Very good knowledge of HUB and DataWareHouse databases, with practical experience.
Very good ability to model financial data, alternative funds an asset.
Good knowledge of agile principles. Experience in Scrum practice an asset.
Knowledge of Informatica an asset.
Knowledge of Sisense an asset
Languages:
French mother language
English: advanced
Training and qualifications :
EPF diploma, HES, university degree or training deemed equivalent.
Home in Switzerland for more than 3 years required. Activity rate: 100% Date taken from the position: as soon as possible
As member of the Business Analysis department within the Strategic Transformation organization, you will review data provider and stock exchange notices, analyze and document requirements to ensure the needs of stakeholders are met within product and project parameters. You ideally have experience with working in stakeholder/matrix-style management environment. Familiarity with stock exchange data feeds terminology is preferred but not obligatory but you must demonstrate an ability to work effectively within a global team as well as independently to proactively identify and resolve problems.
Main duties
Support the correct and consistent integration of financial data from multiple sources into our feed and display products; including real-time, intraday and end of day delivery of market and reference data
Analyze the impact of required changes for our central host database as well as for client products and define the necessary adjustments for respective data structures and rule sets in order to meet client needs
Identify business needs, analyze and conceptualize them, in order to allow better informed business decisions and to provide strong guidance for software development
Execute user acceptance testing as well as the preparation of client information on changes
Assist project management during project planning and delivery phase
Your profile
Bachelor's or higher education degree in Finance, Economics or Computer Science
At least 2 years of working experience in financial services and as a business analyst, and a robust knowledge of financial markets and securities instruments
Knowledge of object-oriented / other programing language and familiarity with various file formats (e.g. UTF, ANSO) and file structures (e.g. XML, JSON) is a great plus
Experience with agile development projects
Analytical, technical, problem solving, and communication skills are a key strength
Excellent written and verbal communication skills in English and German. French is a plus
If you have any questions, please call Valeria Schmid +41 58 399 80 17.
We only accept online direct applications.Valeria Schmid
Human Resources
+41 58 399 80 17
We strive for a diverse workforce and welcome all applicants regardless of personal background.
16/04/2019
Full time
As member of the Business Analysis department within the Strategic Transformation organization, you will review data provider and stock exchange notices, analyze and document requirements to ensure the needs of stakeholders are met within product and project parameters. You ideally have experience with working in stakeholder/matrix-style management environment. Familiarity with stock exchange data feeds terminology is preferred but not obligatory but you must demonstrate an ability to work effectively within a global team as well as independently to proactively identify and resolve problems.
Main duties
Support the correct and consistent integration of financial data from multiple sources into our feed and display products; including real-time, intraday and end of day delivery of market and reference data
Analyze the impact of required changes for our central host database as well as for client products and define the necessary adjustments for respective data structures and rule sets in order to meet client needs
Identify business needs, analyze and conceptualize them, in order to allow better informed business decisions and to provide strong guidance for software development
Execute user acceptance testing as well as the preparation of client information on changes
Assist project management during project planning and delivery phase
Your profile
Bachelor's or higher education degree in Finance, Economics or Computer Science
At least 2 years of working experience in financial services and as a business analyst, and a robust knowledge of financial markets and securities instruments
Knowledge of object-oriented / other programing language and familiarity with various file formats (e.g. UTF, ANSO) and file structures (e.g. XML, JSON) is a great plus
Experience with agile development projects
Analytical, technical, problem solving, and communication skills are a key strength
Excellent written and verbal communication skills in English and German. French is a plus
If you have any questions, please call Valeria Schmid +41 58 399 80 17.
We only accept online direct applications.Valeria Schmid
Human Resources
+41 58 399 80 17
We strive for a diverse workforce and welcome all applicants regardless of personal background.
We are getting our hands on huge amounts of data while producing video. Efficient ways to parse the data and build a database suitable for training detection and behavioral analytics algorithms will be a fundamental part of future development.
Responsibilities:
Develop mechanisms to automatically store metadata out of the live footage and the camera operation from every Seervision robot camera (labeling in machine learning). Format footage and metadata for use in (un)supervised machine learning tasks. Develop software bridges between footage metadata and commercial video processing software.
Potential:
Take full control of the machine learning tasks and focus solely on R&D in close collaboration with ETH. Control over team hiring decisions.
Advantages:
2+ year in machine learning, preferably with neural networks. Experience with video processing software (e.g. Adobe Premiere).
16/04/2019
Full time
We are getting our hands on huge amounts of data while producing video. Efficient ways to parse the data and build a database suitable for training detection and behavioral analytics algorithms will be a fundamental part of future development.
Responsibilities:
Develop mechanisms to automatically store metadata out of the live footage and the camera operation from every Seervision robot camera (labeling in machine learning). Format footage and metadata for use in (un)supervised machine learning tasks. Develop software bridges between footage metadata and commercial video processing software.
Potential:
Take full control of the machine learning tasks and focus solely on R&D in close collaboration with ETH. Control over team hiring decisions.
Advantages:
2+ year in machine learning, preferably with neural networks. Experience with video processing software (e.g. Adobe Premiere).
Our client is a pioneer in Drug Discovery and Development. As the world`s largest R&D spender in the pharmaceutical domain, they work in a vast number of drug discovery & therapeutic areas and are highly recognized internationally. A leader in the field of manufacturing and selling of several drugs with treatment of Cancer.
We are currently looking for an enthusiastic Scientist Bioinformatics & Data Analysis for a 2-years contract to be based in Basel . As an ideal candidate you should have 2+ years of experience in processing and analysing metagenomics/microbiomics data , and good knowledge of Python and R .
As a Scientist Bioinformatics & Data Analysis you will work in close collaboration with scientists using state-of-the-art bioinformatics and biostatistics tools and methods. The main focus of this bioinformatics position is the implementation of a pipeline to process and analyse metagenomics/microbiomics data in the context of pharmaceutical research.
Main Responsibilities:
Evaluation of tools and methods for metagenomics analysis;
Development of a pipeline to process metagenomics data;
Data management of metagenomics data;
Visualization of metagenomics data;
Data mining of public and internal microbiomics data.
Qualifications and Experience:
PhD or Master’s degree;
2+ years of industry experience;
Highly self-motivated, interested in working in a multinational company;
Good knowledge of Python, R or at least one programming language;
Previous experience in metagenomics/ microbiomics data analysis would be beneficial;
Proficiency in working with bioinformatics tools and methods;
Strong background in Statistics;
Basic knowledge in biological sciences would be beneficial;
Good communication skills in English;
Relevant working/residency permit or Swiss/EU-Citizenship required.
16/04/2019
Full time
Our client is a pioneer in Drug Discovery and Development. As the world`s largest R&D spender in the pharmaceutical domain, they work in a vast number of drug discovery & therapeutic areas and are highly recognized internationally. A leader in the field of manufacturing and selling of several drugs with treatment of Cancer.
We are currently looking for an enthusiastic Scientist Bioinformatics & Data Analysis for a 2-years contract to be based in Basel . As an ideal candidate you should have 2+ years of experience in processing and analysing metagenomics/microbiomics data , and good knowledge of Python and R .
As a Scientist Bioinformatics & Data Analysis you will work in close collaboration with scientists using state-of-the-art bioinformatics and biostatistics tools and methods. The main focus of this bioinformatics position is the implementation of a pipeline to process and analyse metagenomics/microbiomics data in the context of pharmaceutical research.
Main Responsibilities:
Evaluation of tools and methods for metagenomics analysis;
Development of a pipeline to process metagenomics data;
Data management of metagenomics data;
Visualization of metagenomics data;
Data mining of public and internal microbiomics data.
Qualifications and Experience:
PhD or Master’s degree;
2+ years of industry experience;
Highly self-motivated, interested in working in a multinational company;
Good knowledge of Python, R or at least one programming language;
Previous experience in metagenomics/ microbiomics data analysis would be beneficial;
Proficiency in working with bioinformatics tools and methods;
Strong background in Statistics;
Basic knowledge in biological sciences would be beneficial;
Good communication skills in English;
Relevant working/residency permit or Swiss/EU-Citizenship required.
Our product — the SPOUD Data Market — is redefining the way enterprises are able to access and integrate business data inside and share it between companies. Be the driving power that gets our crazy integration and analytics projects off the ground.
We are passionate people with an urge to create, a maker nature, who are proud of things built, and have a love for everything growing and living. We are a family of pioneers, explorers and city-builders in the We are looking for a:
There is huge diversity of work waiting for you in the area of software and data engineering, data science, and DevOps.You will work for our analytics and integration projects – come join our NATIV3 team ;)
Your Role
You will be a fundamental part of our software engineering NATIV3 team
You will work in an interdisciplinary team together with data scientists, designers, engineers and business people
You will participate in software architecture and design
You see the entrepreneurial vision of SPOUD and align your doings accordingly
You will apply machine learning algorithms to improve and optimise our client’s needs, capture meaningful insights from data and turn them into competitive advantages
Communicate analyses to technical and business stakeholders internally and to the client
You will drive the creation of analytical models to solve specific real-world problems
Your Profile
2+ years of relevant experience in software development and the ability to write clean code
Familiar with software design and architecture
Know-how in state-of-the-art development frameworks, tools, and methods in your field of expertise
You have data science knowledge (machine learning techniques and frameworks)
Demonstrated track record in building predictive models on complex datasets
You like to work in a start-up environment but also feel comfortable working with customers in the enterprise world
Beneficial are experience with Python, Java, Go, docker and Rx
We Offer
A place where you can get happy if you like making a difference!
A diversity of unsolved questions on the technological front and the freedom to solve them in your own way
A team of experienced start-up enthusiasts who will help you get ahead and will also listen to you • A young, dynamic, and non-bureaucratic environment with a lot of flexibility
An inspiring workplace with a fantastic team of creative people in the heart of Bern
Nice To Have
Time series forecasting, anomaly detection and unsupervised clustering algorithms
Streaming technologies such as Kafka and Flink or a willingness to learn them
Elasticsearch and working with unstructured data at scale
Attention: This is not a regular job – this is a mission where you play an active role, help our customers build their data nirvana and on this path unfold your full potential.
So save your seat on this fast-growing rocket ship and be at the Swiss forefront of Innovation in big data! We are looking forward to welcome you to our family (regular BBQs are a must!).
16/04/2019
Full time
Our product — the SPOUD Data Market — is redefining the way enterprises are able to access and integrate business data inside and share it between companies. Be the driving power that gets our crazy integration and analytics projects off the ground.
We are passionate people with an urge to create, a maker nature, who are proud of things built, and have a love for everything growing and living. We are a family of pioneers, explorers and city-builders in the We are looking for a:
There is huge diversity of work waiting for you in the area of software and data engineering, data science, and DevOps.You will work for our analytics and integration projects – come join our NATIV3 team ;)
Your Role
You will be a fundamental part of our software engineering NATIV3 team
You will work in an interdisciplinary team together with data scientists, designers, engineers and business people
You will participate in software architecture and design
You see the entrepreneurial vision of SPOUD and align your doings accordingly
You will apply machine learning algorithms to improve and optimise our client’s needs, capture meaningful insights from data and turn them into competitive advantages
Communicate analyses to technical and business stakeholders internally and to the client
You will drive the creation of analytical models to solve specific real-world problems
Your Profile
2+ years of relevant experience in software development and the ability to write clean code
Familiar with software design and architecture
Know-how in state-of-the-art development frameworks, tools, and methods in your field of expertise
You have data science knowledge (machine learning techniques and frameworks)
Demonstrated track record in building predictive models on complex datasets
You like to work in a start-up environment but also feel comfortable working with customers in the enterprise world
Beneficial are experience with Python, Java, Go, docker and Rx
We Offer
A place where you can get happy if you like making a difference!
A diversity of unsolved questions on the technological front and the freedom to solve them in your own way
A team of experienced start-up enthusiasts who will help you get ahead and will also listen to you • A young, dynamic, and non-bureaucratic environment with a lot of flexibility
An inspiring workplace with a fantastic team of creative people in the heart of Bern
Nice To Have
Time series forecasting, anomaly detection and unsupervised clustering algorithms
Streaming technologies such as Kafka and Flink or a willingness to learn them
Elasticsearch and working with unstructured data at scale
Attention: This is not a regular job – this is a mission where you play an active role, help our customers build their data nirvana and on this path unfold your full potential.
So save your seat on this fast-growing rocket ship and be at the Swiss forefront of Innovation in big data! We are looking forward to welcome you to our family (regular BBQs are a must!).
Die ZHAW Zürcher Hochschule für Angewandte Wissenschaften ist mit über 13'000 Studierenden und rund 3'000 Mitarbeitenden eine der grössten Mehrsparten-Fachhochschulen der Schweiz.
12/04/2019
Full time
Die ZHAW Zürcher Hochschule für Angewandte Wissenschaften ist mit über 13'000 Studierenden und rund 3'000 Mitarbeitenden eine der grössten Mehrsparten-Fachhochschulen der Schweiz.
IHS Markit (Nasdaq: INFO) is a world leader in critical information, analytics and solutions for the major industries and markets that drive economies worldwide. The company delivers next-generation information, analytics and solutions to customers in business, finance and government, improving their operational efficiency and providing deep insights that lead to well-informed, confident decisions. IHS Markit has more than 50,000 key business and government customers, including 80 percent of the Fortune Global 500 and the world’s leading financial institutions. Headquartered in London, IHS Markit is committed to sustainable, profitable growth.
The Data Scientist will support the project insights gained from analyzing company data. The candidate must have good experience using a variety of data mining/data analysis methods, using a variety of data tools, helping building and implementing models. The candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
In this role, the candidate will apply practical experience in mining, cleansing, and analyzing unsynchronised data, understanding of data science algorithms and willingness to write code to explore problems and understand data. The candidate will work hand-in-hand with Subject Matter Experts and the technical team.
The ideal candidate responsibilities will include;
2-3 years of experience manipulating data sets and building statistical model
Analyse data from company databases to drive optimization and improvement of product development and business strategies
A passion for discovering solutions hidden in large data set
SQL skills for data retrieval, analysis and data cleansing
Develop processes and tools to monitor and analyse model performance and data accuracy
Understanding of data science algorithms
Personal Specification
Experience with programming languages such as R/Python..
Solid background in programming, good knowledge of operating system
Robust knowledge on Database structures (Oracle, SQL)
An understanding of Data Management Systems.
Good knowledge of an Agile development environment
Keep up-to-date with latest technology trends (Machine Learning)
Be an effective communicator, self-motivated, and able to drive insights into actions
Excellent written and verbal communication skills for coordinating across teams
Fluent English language (spoken and written; French a plus.
Ability to explain a technical subject to a non-technical audience
Delivering, communicating, and/or presenting results
Analytical skills, methodological thinking and problem-solving capabilities
IHS Markit is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or accommodation to use our website to apply to a position, please contact accessibility@ihsmarkit.com or call +1 212 849 0399. Determination on requests for reasonable accommodation will be considered on a case-by-case basis.
This contact information (email and phone) is intended for application assistance and accommodation requests only.
We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process and only qualified candidates will receive consideration and follow-up.
IHS Markit is proud to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We maintain a drug-free workplace and perform pre-employment drug testing. As a federal contractor in the United States, IHS Markit is required to participate in the E-Verify Program to confirm eligibility to work in the United States. For information regarding legal rights and protections in the United States
Current Colleagues
If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.
11/04/2019
Full time
IHS Markit (Nasdaq: INFO) is a world leader in critical information, analytics and solutions for the major industries and markets that drive economies worldwide. The company delivers next-generation information, analytics and solutions to customers in business, finance and government, improving their operational efficiency and providing deep insights that lead to well-informed, confident decisions. IHS Markit has more than 50,000 key business and government customers, including 80 percent of the Fortune Global 500 and the world’s leading financial institutions. Headquartered in London, IHS Markit is committed to sustainable, profitable growth.
The Data Scientist will support the project insights gained from analyzing company data. The candidate must have good experience using a variety of data mining/data analysis methods, using a variety of data tools, helping building and implementing models. The candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
In this role, the candidate will apply practical experience in mining, cleansing, and analyzing unsynchronised data, understanding of data science algorithms and willingness to write code to explore problems and understand data. The candidate will work hand-in-hand with Subject Matter Experts and the technical team.
The ideal candidate responsibilities will include;
2-3 years of experience manipulating data sets and building statistical model
Analyse data from company databases to drive optimization and improvement of product development and business strategies
A passion for discovering solutions hidden in large data set
SQL skills for data retrieval, analysis and data cleansing
Develop processes and tools to monitor and analyse model performance and data accuracy
Understanding of data science algorithms
Personal Specification
Experience with programming languages such as R/Python..
Solid background in programming, good knowledge of operating system
Robust knowledge on Database structures (Oracle, SQL)
An understanding of Data Management Systems.
Good knowledge of an Agile development environment
Keep up-to-date with latest technology trends (Machine Learning)
Be an effective communicator, self-motivated, and able to drive insights into actions
Excellent written and verbal communication skills for coordinating across teams
Fluent English language (spoken and written; French a plus.
Ability to explain a technical subject to a non-technical audience
Delivering, communicating, and/or presenting results
Analytical skills, methodological thinking and problem-solving capabilities
IHS Markit is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or accommodation to use our website to apply to a position, please contact accessibility@ihsmarkit.com or call +1 212 849 0399. Determination on requests for reasonable accommodation will be considered on a case-by-case basis.
This contact information (email and phone) is intended for application assistance and accommodation requests only.
We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process and only qualified candidates will receive consideration and follow-up.
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Ihre Hauptaufgabe wird die Mitarbeit in Kundenprojekten unterschiedlicher Grösse, Fachgebiete und Komplexität im Bankenumfeld sein. Sie unterstützen Kunden als anerkannte/r Diskussionspartner/in bei der Erarbeitung von Business Analysen und Anforderungen und wirken zusätzlich mit bei der Weiterentwicklung der internen Prozesse.
IHR PROFIL
Studium in Wirtschaftsinformatik (ETH/Uni/FH), Betriebswirtschaft o. ä.
Methodische Erfahrung im Bereich Requirement Analyse
Erste Bankerfahrung (intern oder bei einem Consultingunternehmen) erwünscht
Viel Eigeninitiative und Selbständigkeit
Hohe Kundenorientierung und sehr gutes Auftreten
Hoher Anspruch an die Qualität der eigenen Arbeit
Spass an innovativen Aufgaben und einem professionellen Team
Deutsch fliessend, Englisch mündlich und schriftlich gute Kenntnisse
Unser Mandant bietet seinen neuen Mitarbeitenden ein hochprofessionelles Arbeitsumfeld, attraktive Arbeits- und Anstellungsbedingungen und beste Entwicklungsmöglichkeiten (z. B. in Richtung Projektleitung). Interessiert? Dann melden Sie sich umgehend bei Maya Hitz von NEXUS Personal- und Unternehmensberatung AG. Sie erhalten ein erstes Feedback in drei Arbeitstagen.
Ihr Kontakt
NEXUS Personal- & Unternehmensberatung AG. Maya Hitz
11/04/2019
Full time
Ihre Hauptaufgabe wird die Mitarbeit in Kundenprojekten unterschiedlicher Grösse, Fachgebiete und Komplexität im Bankenumfeld sein. Sie unterstützen Kunden als anerkannte/r Diskussionspartner/in bei der Erarbeitung von Business Analysen und Anforderungen und wirken zusätzlich mit bei der Weiterentwicklung der internen Prozesse.
IHR PROFIL
Studium in Wirtschaftsinformatik (ETH/Uni/FH), Betriebswirtschaft o. ä.
Methodische Erfahrung im Bereich Requirement Analyse
Erste Bankerfahrung (intern oder bei einem Consultingunternehmen) erwünscht
Viel Eigeninitiative und Selbständigkeit
Hohe Kundenorientierung und sehr gutes Auftreten
Hoher Anspruch an die Qualität der eigenen Arbeit
Spass an innovativen Aufgaben und einem professionellen Team
Deutsch fliessend, Englisch mündlich und schriftlich gute Kenntnisse
Unser Mandant bietet seinen neuen Mitarbeitenden ein hochprofessionelles Arbeitsumfeld, attraktive Arbeits- und Anstellungsbedingungen und beste Entwicklungsmöglichkeiten (z. B. in Richtung Projektleitung). Interessiert? Dann melden Sie sich umgehend bei Maya Hitz von NEXUS Personal- und Unternehmensberatung AG. Sie erhalten ein erstes Feedback in drei Arbeitstagen.
Ihr Kontakt
NEXUS Personal- & Unternehmensberatung AG. Maya Hitz
Our client, one of the most innovative bio-pharmaceutical companies, is looking for a Data Scientist Proteomics for a permanent position based in the Basel area .
Main Responsibilities:
Building suitable workflows to analyse data dependent and data independent proteomic experiments;
Developing standardized workflows for proteomic data storage, management and retrieval;
Evaluating high resolution proteomic mass spectrometry datasets to generate knowledge on pharmacological mechanism of action and biomarkers;
Ensuring data analysis work is well documented and highly traceable;
Integrating proteomic datasets with other data types;
Reporting and present results to cross functional project teams including potential interpretations;
Working with disease area partners and mass spectrometry lab to ensure optimum study design;
Interacting with other statistical and data analysis functions
Qualifications and Experience:
PhD in biochemistry, biotechnology, bioinformatics or appropriate related discipline;
Analysing proteomic datasets with both data dependent and data independent strategies;
Knowledge in analysis of omics datasets for pharmacological mechanisms and/or disease biomarkers;
Strong background in computational analysis and experienced in using statistical packages such as R;
Experience with communicating omics data to non-specialists;
Hands-on experience with sample preparation for proteomics and operating high resolution mass spectrometers and nanoflow-LC preferable;
Experience in one or more therapeutic areas (CNS, immunology, oncology and CV/fibrosis) advantageous;
Proficient in the English, written and spoken. German and/or French would be an advantage.
Relevant working/residency permit or Swiss/EU-Citizenship required.
11/04/2019
Full time
Our client, one of the most innovative bio-pharmaceutical companies, is looking for a Data Scientist Proteomics for a permanent position based in the Basel area .
Main Responsibilities:
Building suitable workflows to analyse data dependent and data independent proteomic experiments;
Developing standardized workflows for proteomic data storage, management and retrieval;
Evaluating high resolution proteomic mass spectrometry datasets to generate knowledge on pharmacological mechanism of action and biomarkers;
Ensuring data analysis work is well documented and highly traceable;
Integrating proteomic datasets with other data types;
Reporting and present results to cross functional project teams including potential interpretations;
Working with disease area partners and mass spectrometry lab to ensure optimum study design;
Interacting with other statistical and data analysis functions
Qualifications and Experience:
PhD in biochemistry, biotechnology, bioinformatics or appropriate related discipline;
Analysing proteomic datasets with both data dependent and data independent strategies;
Knowledge in analysis of omics datasets for pharmacological mechanisms and/or disease biomarkers;
Strong background in computational analysis and experienced in using statistical packages such as R;
Experience with communicating omics data to non-specialists;
Hands-on experience with sample preparation for proteomics and operating high resolution mass spectrometers and nanoflow-LC preferable;
Experience in one or more therapeutic areas (CNS, immunology, oncology and CV/fibrosis) advantageous;
Proficient in the English, written and spoken. German and/or French would be an advantage.
Relevant working/residency permit or Swiss/EU-Citizenship required.
Our client is a pioneer in Drug Discovery and Development. As the world`s largest R&D spender in the pharmaceutical domain, they work in a vast number of drugs & therapeutic areas and are highly recognized internationally. They are also a leader in the field of manufacturing and selling of several drugs for the treatment of Cancer.
They are currently looking for a Senior Data Scientist - Real World Data for a contract with high chances of extension, to be based in Basel. If you have 3+ years of experience in Developing Protocols or Designing Observational and Non-interventional Studies, within a pharmaceutical environment and you would like to step in a key role in which to drive real world data generation at a global level, this is the right opportunity for you.
As a Senior Data Scientist you will work with meaningful data to generate impactful evidence and insights on our molecules/medicines and patients, support R&D, advance scientific and medical knowledge, and enable personalized patient care and access.
Main Responsibilities:
IDENTIFY EVIDENCE NEEDS & RECOMMEND DATA SOLUTIONS: Ask the right scientific questions, understand the evidence needs for research and development, regulatory and market access, and ideate and make recommendations on fit-for-purpose data and analytics solutions.
DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately.
BE AN EXPERT IN APPLYING METHODS: Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
PRODUCE HIGH QUALITY ANALYSES: Apply rigor in study design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; implement and/or oversee the study, including its reporting; ensure compliance with applicable pharma industry regulations and standards.
INTERPRET AND SHARE RESULTS: Communicate findings to internal stakeholders, regulatory, health technology assessment (HTA) bodies and scientific communities; publish results.
Qualifications and Experience:
MSc or PhD in epidemiology, pharmacoepidemiology or biostatistics/public health (with focus on epidemiology/observational research);
Demonstrated track record of developing and executing epidemiological or outcome research projects, with publications and presentations;
Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges;
Demonstrated strong collaboration skills and excellent communication skills;
Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques;
Proficiency in English, both written and verbal;
Track record of effectively working in a matrix environment with global, international team members coming from scientific, business and operational backgrounds, using influence without authority;
Relevant working/residency permit or Swiss/EU-Citizenship required.
11/04/2019
Full time
Our client is a pioneer in Drug Discovery and Development. As the world`s largest R&D spender in the pharmaceutical domain, they work in a vast number of drugs & therapeutic areas and are highly recognized internationally. They are also a leader in the field of manufacturing and selling of several drugs for the treatment of Cancer.
They are currently looking for a Senior Data Scientist - Real World Data for a contract with high chances of extension, to be based in Basel. If you have 3+ years of experience in Developing Protocols or Designing Observational and Non-interventional Studies, within a pharmaceutical environment and you would like to step in a key role in which to drive real world data generation at a global level, this is the right opportunity for you.
As a Senior Data Scientist you will work with meaningful data to generate impactful evidence and insights on our molecules/medicines and patients, support R&D, advance scientific and medical knowledge, and enable personalized patient care and access.
Main Responsibilities:
IDENTIFY EVIDENCE NEEDS & RECOMMEND DATA SOLUTIONS: Ask the right scientific questions, understand the evidence needs for research and development, regulatory and market access, and ideate and make recommendations on fit-for-purpose data and analytics solutions.
DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately.
BE AN EXPERT IN APPLYING METHODS: Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
PRODUCE HIGH QUALITY ANALYSES: Apply rigor in study design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; implement and/or oversee the study, including its reporting; ensure compliance with applicable pharma industry regulations and standards.
INTERPRET AND SHARE RESULTS: Communicate findings to internal stakeholders, regulatory, health technology assessment (HTA) bodies and scientific communities; publish results.
Qualifications and Experience:
MSc or PhD in epidemiology, pharmacoepidemiology or biostatistics/public health (with focus on epidemiology/observational research);
Demonstrated track record of developing and executing epidemiological or outcome research projects, with publications and presentations;
Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges;
Demonstrated strong collaboration skills and excellent communication skills;
Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques;
Proficiency in English, both written and verbal;
Track record of effectively working in a matrix environment with global, international team members coming from scientific, business and operational backgrounds, using influence without authority;
Relevant working/residency permit or Swiss/EU-Citizenship required.
MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident.
Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.
Job Description
This role is your opportunity to build and deploy new AI products from the ground up.
You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production.
You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices.
You will:
Support the Head of AI Initiatives to set up our AI development and production infrastructure.
Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
To support you, MindMaze will:
Provide an international collaborative work environment
Provide mentoring
Allow flexible employment terms and conditions
Qualifications
Skills that we look out for are among
BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure
Postgraduate degree in AI related topic
At least 5 years hands-on programming /data science application experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab
Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano
Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps
Ideally experience in Healthcare applications of this technology
Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty
Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment
Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business
Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups
Fluent written and spoken English and French level (level C1)
Icing on the cake
Be ready to show us models you have created and discuss them in great detail.
Additional Information
To be successful you can illustrate the fact that you have the following abilities:
Working autonomously: setting tasks and direction under limited supervision
Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect
Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset
Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks
11/04/2019
Full time
MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident.
Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.
Job Description
This role is your opportunity to build and deploy new AI products from the ground up.
You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production.
You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices.
You will:
Support the Head of AI Initiatives to set up our AI development and production infrastructure.
Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
To support you, MindMaze will:
Provide an international collaborative work environment
Provide mentoring
Allow flexible employment terms and conditions
Qualifications
Skills that we look out for are among
BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure
Postgraduate degree in AI related topic
At least 5 years hands-on programming /data science application experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab
Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano
Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps
Ideally experience in Healthcare applications of this technology
Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty
Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment
Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business
Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups
Fluent written and spoken English and French level (level C1)
Icing on the cake
Be ready to show us models you have created and discuss them in great detail.
Additional Information
To be successful you can illustrate the fact that you have the following abilities:
Working autonomously: setting tasks and direction under limited supervision
Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect
Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset
Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks
Our solutions for sequence data management, sequence analysis, NGS data processing and analytics are operated in scientific and lab-driven environments. Our team searches a strong collaborator with team experience, who is ready to work in the bioinformatics field facing the challenges and opportunities turning solutions and concepts into shippable products.
We care as much about delivering functional and performant solutions as we do about ensuring a technically sound platform. We foster a collaborative environment through guidance and mentorship. We pride ourselves on building a supportive atmosphere where you will both learn and teach.
This full time position is based at our headquarters in Basel, Switzerland.
Key Responsibilities
Work with an established quality-driven agile team using state of the art organizational means focused on delivering software products with regular schedules.
Work with React-based JavaScript frameworks including web application styling techniques for building state of the art web applications
Shape the Java based middle-tier services providing data in efficient and elegant ways to the web clients
Find algorithmic solutions for retrieving and manipulating large quantities of data (genome and sequence data) on the middle tier and present it for analytical assessment on the customer interface
Maintain and extend a library of user interface components according to given specification and including automated tests and documentation
Your Profile
Essential Skills and Experiences:
BSc, MSc, or Ph.D. in computer science, mathematics, bioinformatics, or related fields, or comparable on-the-job experience
Qualified web developer with skills on the web-tier end user interface as well as the middle-tier service layer
Experience working on database-oriented, algorithmically demanding scientific applications in a three-tier architecture at the interface between biology and informatics
Domain expertise in JavaScript frameworks as well as Java based middle-tier architectures
Working experience with DevOps tools and methodologies (Jira, Confluence, Subversion, Jenkins, React, Play, JPA/Hibernate, NodeJS/NPM, SQL, Scrum)
Good written and verbal communication and presentation skills in English
A keen interest in working in a life science related field
The Company
Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore.
About the Genedata Selector
Genedata Selector is an enterprise software platform that transforms raw sequencing data into solutions to optimize R&D and production processes for life science industries. Automated and intuitive software combined with scientific consulting and professional services provides a full solution for increasing efficiency and reducing costs in cell line design and selection, microbial contamination detection, and strain, germplasm, and breeding optimization.
11/04/2019
Full time
Our solutions for sequence data management, sequence analysis, NGS data processing and analytics are operated in scientific and lab-driven environments. Our team searches a strong collaborator with team experience, who is ready to work in the bioinformatics field facing the challenges and opportunities turning solutions and concepts into shippable products.
We care as much about delivering functional and performant solutions as we do about ensuring a technically sound platform. We foster a collaborative environment through guidance and mentorship. We pride ourselves on building a supportive atmosphere where you will both learn and teach.
This full time position is based at our headquarters in Basel, Switzerland.
Key Responsibilities
Work with an established quality-driven agile team using state of the art organizational means focused on delivering software products with regular schedules.
Work with React-based JavaScript frameworks including web application styling techniques for building state of the art web applications
Shape the Java based middle-tier services providing data in efficient and elegant ways to the web clients
Find algorithmic solutions for retrieving and manipulating large quantities of data (genome and sequence data) on the middle tier and present it for analytical assessment on the customer interface
Maintain and extend a library of user interface components according to given specification and including automated tests and documentation
Your Profile
Essential Skills and Experiences:
BSc, MSc, or Ph.D. in computer science, mathematics, bioinformatics, or related fields, or comparable on-the-job experience
Qualified web developer with skills on the web-tier end user interface as well as the middle-tier service layer
Experience working on database-oriented, algorithmically demanding scientific applications in a three-tier architecture at the interface between biology and informatics
Domain expertise in JavaScript frameworks as well as Java based middle-tier architectures
Working experience with DevOps tools and methodologies (Jira, Confluence, Subversion, Jenkins, React, Play, JPA/Hibernate, NodeJS/NPM, SQL, Scrum)
Good written and verbal communication and presentation skills in English
A keen interest in working in a life science related field
The Company
Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore.
About the Genedata Selector
Genedata Selector is an enterprise software platform that transforms raw sequencing data into solutions to optimize R&D and production processes for life science industries. Automated and intuitive software combined with scientific consulting and professional services provides a full solution for increasing efficiency and reducing costs in cell line design and selection, microbial contamination detection, and strain, germplasm, and breeding optimization.
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations.
Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
Job purpose
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
10/04/2019
Full time
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations.
Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
Job purpose
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
Here at Celgene, we are seeking our next forward-thinking colleague – following a period of growth within Study Programs, we have an opportunity for a Data Scientist to work within our Medical Affairs group, focussing on Immunology & Inflammation.
Reporting into the Associate Director of Global Medical Affairs for this group, you are someone who can provide support to the Celgene Study Programs which have been coordinated by the Medical Affairs team – principally, the Celgene-sponsored non-interventional studies.
Leading the Data Management planning, you will have responsibility for study set-up and execution, as you work with both internal experts and our outsourced partners – this role is therefore ideal for those that have a proven track record (3+ years), as a Data Manager for a pharma / biotech or CRO organisation.
You will provide a key contribution in this function, performing a hybrid Data Manager / Research Scientist role – this is to ensure high quality and standardised data collection across the portfolio, which is validated in the clinical database in a timely manner and to a high standard.
As you partner with several departments in the company, you will have frequent contact with the affiliates across our WorldWide Markets – therefore, prior experience of working “above-country”, and across different cultures, is advantageous.
Splitting your day between meeting deadlines / managing priorities / multi-tasking, we offer you an environment which is well-matched to someone who can work with their own initiative whilst also being accountable to the team.
“A day in the life of” – your responsibilities will include :
1. Functional Proficiencies
Review protocols and support CRF development in collaboration with study teams
Demonstrate ability to analyze data, share trends/observations with team members and management around results and relevant metrics
Lead DM study start-up and maintenance activities - CRF design/edit check specifications/external vendor specifications, CRF completion guidelines, (CCGs), coding, etc
Lead Celgene team with User Acceptance Testing as applicable
Lead SAE reconciliation, data review and query management
Prepare or review the Data Management Plan and essential documentation
Adhere to data standards and proper data validation processes
Lead database lock or snapshot activities: inclusive of interim/final SAE reconciliation and interim/final data review
Lead/Participate in regular team meetings and provide input when appropriate
Core study team member and primary contact for data management
Prepare metrics and reports required to analyze the study performance
Provide input and assist in review/adherence to project timelines
2. Oversight of CRO and Vendors
Provide oversight of vendor activities to ensure quality and timely deliverables
Participate in CRO/external vendor selection
Review Statement of Work (SOW)/contracts and data transfer specifications and agreements
Provide CRO oversight of the data management functional activities and monitor progress and deliverables
Ensure training on Celgene SOPs, if applicable
3. Additional Activities
Participate in the initiatives and projects linked to the coordination and oversight of the Celgene Study Programs as needed
Participate in writing/reviewing of functional SOPs/Working Procedures/Guidance Documents
Ensure affiliates and departmental companion groups (Safety, PSRM, etc.) are consulted appropriately on study decisions
Train Medical Affairs colleagues on Celgene and data management standards and processes
Liaise with cross-functional teams to provide data management deliverables to health agencies
Contribute to continuous improvement on the responsibilities above and promote high quality standards and audit readiness
Your background comprises…
This role is ideal for an individual who has 3+ years’ experience as a lead Data Manager in a pharmaceutical / biopharma or CRO setting
It is also essential to have solid working knowledge of late phase and real-world research
You are someone who has strong working knowledge of EDC databases.
Additional knowledge of J-Review or other reporting tool and understanding of SDTM and CDISC.
It would also be great if you have knowledge of and interest in analytics and visualization (Tableau, Spotfire) techniques a plus.
Working within our Immunology & Inflammation franchise, intermediate knowledge of this therapeutic area would be great but is not essential
Knowledge of FDA/ICH guidelines and industry standard practices regarding data management
Your personality is…
This role is ideal for a self-starter, who is proactive and can work with a sense of urgency
Your ability to work independently would complement our existing culture
Plans and executes own area of responsibilities through predefined standards and objectives
Shows solid interpersonal skills and understanding of all project team functions to obtain necessary information from other project team members
Your skill-set includes…
We are seeking for applicants to possess a Master’s degree as minimum (possessing a PhD or PharmD would be hugely advantageous but not essential)
If you do have additional On-the-Job training, that is always preferred
For you to be proficient in Microsoft Office MS Word, Excel and PowerPoint.
Strong written and oral communication skills
Good organizational skills, ability to prioritize and multi-task and demonstrate flexibility and attention to detail
10/04/2019
Full time
Here at Celgene, we are seeking our next forward-thinking colleague – following a period of growth within Study Programs, we have an opportunity for a Data Scientist to work within our Medical Affairs group, focussing on Immunology & Inflammation.
Reporting into the Associate Director of Global Medical Affairs for this group, you are someone who can provide support to the Celgene Study Programs which have been coordinated by the Medical Affairs team – principally, the Celgene-sponsored non-interventional studies.
Leading the Data Management planning, you will have responsibility for study set-up and execution, as you work with both internal experts and our outsourced partners – this role is therefore ideal for those that have a proven track record (3+ years), as a Data Manager for a pharma / biotech or CRO organisation.
You will provide a key contribution in this function, performing a hybrid Data Manager / Research Scientist role – this is to ensure high quality and standardised data collection across the portfolio, which is validated in the clinical database in a timely manner and to a high standard.
As you partner with several departments in the company, you will have frequent contact with the affiliates across our WorldWide Markets – therefore, prior experience of working “above-country”, and across different cultures, is advantageous.
Splitting your day between meeting deadlines / managing priorities / multi-tasking, we offer you an environment which is well-matched to someone who can work with their own initiative whilst also being accountable to the team.
“A day in the life of” – your responsibilities will include :
1. Functional Proficiencies
Review protocols and support CRF development in collaboration with study teams
Demonstrate ability to analyze data, share trends/observations with team members and management around results and relevant metrics
Lead DM study start-up and maintenance activities - CRF design/edit check specifications/external vendor specifications, CRF completion guidelines, (CCGs), coding, etc
Lead Celgene team with User Acceptance Testing as applicable
Lead SAE reconciliation, data review and query management
Prepare or review the Data Management Plan and essential documentation
Adhere to data standards and proper data validation processes
Lead database lock or snapshot activities: inclusive of interim/final SAE reconciliation and interim/final data review
Lead/Participate in regular team meetings and provide input when appropriate
Core study team member and primary contact for data management
Prepare metrics and reports required to analyze the study performance
Provide input and assist in review/adherence to project timelines
2. Oversight of CRO and Vendors
Provide oversight of vendor activities to ensure quality and timely deliverables
Participate in CRO/external vendor selection
Review Statement of Work (SOW)/contracts and data transfer specifications and agreements
Provide CRO oversight of the data management functional activities and monitor progress and deliverables
Ensure training on Celgene SOPs, if applicable
3. Additional Activities
Participate in the initiatives and projects linked to the coordination and oversight of the Celgene Study Programs as needed
Participate in writing/reviewing of functional SOPs/Working Procedures/Guidance Documents
Ensure affiliates and departmental companion groups (Safety, PSRM, etc.) are consulted appropriately on study decisions
Train Medical Affairs colleagues on Celgene and data management standards and processes
Liaise with cross-functional teams to provide data management deliverables to health agencies
Contribute to continuous improvement on the responsibilities above and promote high quality standards and audit readiness
Your background comprises…
This role is ideal for an individual who has 3+ years’ experience as a lead Data Manager in a pharmaceutical / biopharma or CRO setting
It is also essential to have solid working knowledge of late phase and real-world research
You are someone who has strong working knowledge of EDC databases.
Additional knowledge of J-Review or other reporting tool and understanding of SDTM and CDISC.
It would also be great if you have knowledge of and interest in analytics and visualization (Tableau, Spotfire) techniques a plus.
Working within our Immunology & Inflammation franchise, intermediate knowledge of this therapeutic area would be great but is not essential
Knowledge of FDA/ICH guidelines and industry standard practices regarding data management
Your personality is…
This role is ideal for a self-starter, who is proactive and can work with a sense of urgency
Your ability to work independently would complement our existing culture
Plans and executes own area of responsibilities through predefined standards and objectives
Shows solid interpersonal skills and understanding of all project team functions to obtain necessary information from other project team members
Your skill-set includes…
We are seeking for applicants to possess a Master’s degree as minimum (possessing a PhD or PharmD would be hugely advantageous but not essential)
If you do have additional On-the-Job training, that is always preferred
For you to be proficient in Microsoft Office MS Word, Excel and PowerPoint.
Strong written and oral communication skills
Good organizational skills, ability to prioritize and multi-task and demonstrate flexibility and attention to detail
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Engineer:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Strong background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
Ready for the mission? Don't keep us in suspense.
09/04/2019
Full time
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Engineer:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Strong background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
Ready for the mission? Don't keep us in suspense.
