54 Data Management jobs

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

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.

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.

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.

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

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

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs. The Role A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer. The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.  Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit. Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical. Custom Demonstrations and Proofs-of-Concept:  Hands-on development using the Pentaho platform and related technologies. Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices. Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value. Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs. Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara. Required Experience  Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark). Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing. Hands-on Hadoop experience ETL, data warehousing, data engineering, data integration Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC Java programming BI Tools (e.g. Tableau, Qlik, MicroStrategy) Security systems (e.g. LDAP, SSO, Kerberos) Advanced analytics (e.g. R, Scala, Python, Weka, SAS) Operating systems (e.g. Linux, Windows, shell scripting), strong communication skills, fluent in German and English (written & spoken),  Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience). We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

One of our leading customers in Lausanne is looking for a highly skilled Data Scientist to join the team. This business develops technology to revolutionize how investment decisions are made. By extracting information from data, they advise clients on how to invest and make the best decisions. In this role, our customer needs someone who can work within modeling research, designing and validating models to transform data into actionable insights. You would develop predictive statistical, machine learning and deep learning methods. This position would also include managing the research process including methodology selection, data collection, modeling and analysis. In order to apply for this position, you should have strong experience working as a Data Scientist; ideally with a focus on NLP and text mining. Experience and knowledge in data analysis and statistical modeling techniques (machine learning, deep learning, signal processing) are also required. Good skills in time series analysis and machine learning research are also important. Technical experience needed included t-sql, hadoop, with programming skills in Python, Spark etc.... If you feel your experience matches the requirements well and you are keen to hear more, please apply and we'll arrange a call soon.

Nexthink is a global leader in Digital Employee Experience. Our product allows enterprises to create highly productive digital workplaces for their employees by delivering optimal end-user experience. Through a unique combination of real-time analytics, automation and employee feedback across all endpoints, Nexthink helps IT teams meet the needs of the modern digital workplace. Headquartered in Switzerland, Nexthink also has offices in France, UK, Germany, Spain, UAE, Saudi Arabia, Australia and the US. Our growing team of Nexthinkers is proud to be making the digital work lives of seven million employees across 1,000 customers more productive. Thanks to our fantastic growth we are looking for new rock stars! Job Description We are looking for a   Business & Data Analyst   reporting to the Head of Sales Operations. This role will work closely with Sales and Marketing functions, Finance and Customer Success organization. It is a unique opportunity to join a booming Software Business environment in a role that will directly impact business agility and success. Primary Responsibilities: Data Audit, Stewardship & Governance . Understand Nexthink’s end to end systems and processes, Identify Data reliability breach sources, and Propose fixes of Master Data Elements and transactional flows at stake. Plays as the data integrity guardian. Project Member . Drive all relevant Cross functional initiatives for new process, new system introduction as well as projects aiming at connecting Enterprise systems. Business Analyst . Review, Analyze and help steer Business reporting processes and structure; including but not limited to Marketing leads, Pipeline Waterfall, Performance KPIs (Go to market, Regional, Channel, Discounts etc…) Seniority level: Mid-Senior Level  Function: Analyst Qualifications Analytical curiosity - Enjoy playing “Helicopter” Analytics and deep dive into core data source. Process & System minded. Business Savy – Understand Business processes, challenges and requirements. Passion for Business support, and extra mile mindset will be key differentiator in candidate selection. Sense of ownership, Result driven. Project Management skills and experience. Problem solving & Prioritization skills. Team player - Interpersonal communication skills. Multi tasks in fast paced environment. Understand Data Management criticality. Bachelor’s Degree in business systems, computer science, information technology, or related field.  Minimum 5 years’ experience in similar role. Software industry experience a plus. CRM SFDC a must. Fluent English a must, Fluent French a plus. Strong command on Microsoft Office a must.

For our client, a globally operating and market-leading internet company, we are currently looking for a motivated and experienced Business Analyst. Business Analyst Your challenges Strong background in data science, digital transformation, statistical analysis and machine learning that will help to shape end-to-end data-driven solutions in the context of data mining, data collection, data processing, data cleansing, ensuring data quality, data visualization and data analysis using machine learning, elicit, analyze and validate requirements. Define and document the software requirements of the platform software project based on our client's product requirements. Structure the software requirements to be implemented by software development, to allow the software requirements to be implemented by software development. Support know-how transfer from initial product requirements to technical requirements. Manage requirements, test cases and associated risks, including their status and traces in the requirements management system. Your skills Bachelor's degree or training/education in computer sciences and natural sciences Have +5 years of experience in data processing and analysis, data science, data visualization, machine learning, requirements engineering / management, business analysis, business process modelling Optional: Experience in Analytics Platforms offered by Salesforce, Microsoft, Tableau, ThoughtSpot or similar vendors You are a data-oriented personality with great interpersonal skills Focus on evidence-based learning or equivalent Strong understanding with business representatives, development and V&V Be flexible, have strong communication, problem solving and statistic skills Have full proficiency in English Your horizons Show us what you're made of and we'll offer you lots in return! You have the chance to join a truly growth-embracing culture, which will commit to helping you grow personally and professionally. As part of your role, our client wants you to know that your refreshing input is of high value! Your contact Frau Kaja Tarnowska, Key Account Manager, looks forward to answer your questions by phone +41 58 233 4580. You can apply directly online. Please mention reference JN -032019-295190 in your application

The company continues to invest and lead the world market. Its evolution to its leading brand needs consistency to market, and therefore it is paramount to standardize data, processes and management information. Within the BI Team and under its governance, the data modelling engineer’s mission is to work within the BI Team to provide analysis, design, deployment for BI solutions, implementing project good practices and quality processes. Contribution Provide analysis, design, implementation and support for BI solutions: Data quality management, master data management, Data modeling, ETL, Reporting & Dashboards; Ensure the understanding of business needs and be able to translate business need into technical solutions; Carry on developments using the Agile methodology; Design and build prototypes, ensure industrialization Adapt to several functional domains in a quick time; Participate in the promotion of the BI solutions among the business; Ensure all tasks are performed in compliance with security and quality aspects described in related Corporate Standard Operating Procedures; Participate in BI support; Additional Responsibilities Provide timely, complete and accurate responses to the management and inquiries in a positive and constructive manner. Complete ad hoc tasks and projects as required by the Company. Pro-actively communicate relevant opportunities, risks, and issues to the management; Participate defining and implementing BI project good practices and quality processes; Qualifications and Experience Mandatory: Minimum 3 years of experience in Business Intelligence/data modeling Multicultural work collaboration Fluency in English (oral and written) Good experience in BI solutions Proven Experience in data quality or data management        Knowledge of SQL language                                                        Bonus: Processes, Systems and Data minded Experience in Agile methodology Proven Experience in data quality or data management Knowledge of any other BI reporting tool appreciated

CROSS is a consulting and engineering company, a subsidiary of the Micropole group, specializing in the fields of    Digital Transformation   ,    Performance Management    and    Data Governance   .   Present in French-speaking Switzerland since 1987, the 190 employees who compose it accompany its customers from strategic thinking to the implementation of the solution and its support. In order to strengthen our teams, we are looking for one of our customers in Geneva a (e): SENIOR DATA SCIENTIST / IA MAIN ACTIVITIES Engage with selected stakeholders to define the needs and business scenarios and offers different types of solutions and a phased approach to their implementation. Evaluate and pre-process raw information as necessary;   delve into data to discover discrepancies and matching patterns. Collaborate with Business Analysts on the "Business" side to plan the development process on behalf of the Steering Committee: organize, conduct and report on all technical related activities. Work with the data scientist and the project team to design, develop, test and deliver AI solutions / modules and evaluate the modules / solutions compatibility with the ICT platform, its applicability, availability and scalability. Delivering data models and matching criteria / types of data capture and distribution of human rights operations, defining the type of data and the record keeping processes, and dealing with large scale datasets. Design and build from scratch a hub query, based on various sources, and accessible to the business. Collaborate with ICT teams to evaluate and implement required developments. Present AI Proof of Concepts to the Business Team in the field of Data Science, including a study of the technologies and the way to industrialize the solution . TECHNICAL SKILLS 7+ years of experience as a Data Scientist Strong experience in data mining / analysis, data modeling / neuronal networking and data visualization / reporting methods and tools o Strong knowledge of statistics and data analytics (eg as SPSS, SAS, Excel or similar). Proficient in algorithms / queries for global / elastic search implementation Demonstrated experience in implementing systems leveraging Artificial Intelligence / Machine Learning technologies eg for text / image recognition, identification / authentication Proficient in programming languages ​​and environments such as MATLAB, R, Python or related languages Excellent analytical and communication skills Outstanding organizational and problem-solving aptitude Strong experience in large-scale deployment processes Master Degree in Operations Research, Computer Science, Statistics, Mathematics or a related field LANGUAGES Fluent French   Fluent in written and spoken English Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ... At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company. To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance that we go together!   So, do not hesitate, come join us.

For more than 90 years, Caterpillar Inc. has been building the world’s infrastructure, and in partnership with CAT dealers, is driving positive and sustainable changes on every continent. A Fortune 500 company, Caterpillar is the world’s leading manufacturer of construction and mining equipment, diesel and natural gas engines and industrial gas turbines and diesel electric locomotives. The company also is a leading services provider through Caterpillar Financial Services, Caterpillar Remanufacturing Services, Caterpillar Logistics Services and Progress Rail Services. Within our EAME Distribution Headquarters located in Geneva, we offer a complete Graduate Internship Program for a period of 13 months starting 1 July 2019. The Caterpillar Graduate Internship Program is a mix of on the job learning, coupled with personal development and training in a specialized field. In our business and the industries we cover, data is generated continuously from multiple touch points and collected in hundreds of data sources. Increasingly, managing data correctly has resulted in greater competitive advantages and as the Data Analytics organization within GASD (Global Aftermarket Solutions Division), we support business decisions by converting a tremendous volume of data into concrete and valuable insights. The data infrastructure requirements are evolving to drive a culture of data-driven decisions making spanning various teams and objectives globally.   You will join a team of passionate people in a complex data environment, working on the data infrastructure which will respond to these increasing needs for complete, accurate, timely and secure data. You'll support the needs of user teams across Caterpillar GASD (Global Aftermarket Solutions Division) while being an expert on data architecture, quality and operations to deliver and maintain a data mart that help us better understand our business and customers. You'll turn data into a craft and a discipline that returns increasing value at Caterpillar. By joining the Data Analytics team, your contributions will drive the next generation of decision making and action taking in Global Aftermarket Solutions Division at Caterpillar. This Graduate internship will provide you to an opportunity as a Data Engineer.    You will make a difference by: Build infrastructure required to extract, transform and load data from a wide variety of sources controlled data transformations for reporting, identifying and incorporating dealer specific business rules Support business analysts by productionizing workflows: ingesting, cleansing, and preparing data Interact with business partners to understand aftermarket, aligning data solutions to insights Optimize data analytics, modeling, visualization, transformation and enrichment Set up processes and standards for data documentation Qualifications Top Candidates Will Have: Bachelor degree in computer science or equivalent Excellent command of English and any other European language is an asset Experience with object-orientated function scripting languages: Python, Java, Javascript, C++, Scala, any other equivalent tool Understanding of data structures, algorithms, profiling & optimization Understanding of SQL, ETL design, and data modeling techniques Demonstrated analytical ability, judgement and problem-solving techniques Familiarity with cloud computing concepts Swiss citizen or holder of a valid B or C permit/ EU citizen living in Europe

In our business and the industries we cover, data is generated continuously from multiple touch points and collected in hundreds of data sources. Increasingly, managing data correctly has resulted in greater competitive advantages and as the Data Analytics organization within GASD (Global Aftermarket Solutions Division), we support business decisions by converting a tremendous volume of data into concrete and valuable insights. The data infrastructure requirements are evolving to drive a culture of data-driven decisions making spanning various teams and objectives globally. As a   Data Engineer , you will join a team of passionate people in a complex data environment, working on the data infrastructure which will respond to these increasing needs for complete, accurate, timely and secure data. You'll support the needs of user teams across Caterpillar GASD (Global Aftermarket Solutions Division) while being an expert on data architecture, quality and operations to deliver and maintain a data mart that help us better understand our business and customers. You'll turn data into a craft and a discipline that returns increasing value at Caterpillar. By joining the Aftermarket Data Analytics Management team, your contributions will drive the next generation of decision making and action taking in Global Aftermarket Solutions at Caterpillar.    You will make a difference by: D riving our Data strategy A chieving Data integrity, security & accessibility targets T ransforming our data processes A dvising users & analysts Responsibilities: Build infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources Create controlled data transformation for reporting, incorporating dealer business rules Optimize data analytics, modeling, visualization, transformation and enrichment Operationalize analyst workflows, tables and processes Engage directly with business partners to participate in design and development of data integration/transformation solutions Set up processes and standards for data documentation Less than 10% travel Qualifications Basic Qualifications:  Previous experience as a data engineer, IT Engineer, IT analyst, software developer or data analyst    Top Candidates Will Also Have: BS in Computer Science, Computer Engineering, Business Analytics, or related fields 1-2 years software development experience with object-oriented function scripting languages: Python, Java, Javascript, C++, Scala, etc Passion for acquiring, analyzing and transforming data to generate insights Understanding of data structures, algorithms, profiling & optimization Understanding of SQL, ETL design, and data modeling techniques Demonstrated analytical ability, judgment and problem analysis techniques Familiarity with cloud computing concepts Knowledge of big data tools: Hadoop, Spark, Kafka, etc. Knowledge of relational SQL and NoSQL databases, including Postgres and Cassandra Knowledge of data blending tools: Alteryx Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Knowledge of AWS cloud services: EC2, EMR, RDS, Snowflake Knowledge of stream-processing systems: Storm, Spark-Streaming, etc. Knowledge of API managers: Apigee, Azure, Catana, etc Knowledge of version control systems: Git, VSTS Thrive in a fast-paced environment that delivers results and has fun Strong attention to detail Great verbal and written communication skills to collaborate cross functionally Interpersonal skills with the ability to work effectively in a cross functional team