49 Data Analytics jobs

Do you have a first experience in data management or IT project management? Do you want to join a start-up with dynamic projects? So we have what you are looking for! ABOUT THE ROLE Our client, a company specializing in the development of IT solutions for the French public transport companies, is looking for their new Data Manager to enlarge their team! You will have the opportunity to join a young team and work on very interesting data management projects. DESCRIPTION OF THE TASKS Harvest and aggregation of data Data management and correct transmission through IT tools Project follow up Coordination with the various stakeholders WE ARE LOOKING FOR HES / UNI / EPF training in management information or other A first year of experience or IT project management or as a Business Analyst Technical proficiency in English (B1-B2 level) Good knowledge of SQL Autonomous, methodical, precise and quality-oriented personality. IN SHORT City:  Lausanne Activity rate: Full time, 100% Type of work : Mission, Mission of 3 months with possibility to be hired thereafter (Try & hire) Job Category: IT Project Manager  Start date: As soon as possible or to agree  

Requirements Engineer wanted for our Ticino based client in the banking sector. Your experience/skills: 6+ years’ requirements engineering experience with application development projects in banking or financial industries Proficiency in data flows, data catalogues and data gap analysis as well as SQL to query data from a database Good knowledge of architecture diagrams, in particular UML class diagrams, IT business analysis and data analytics Strong analytical problem solving skills, credit risk domain know-how would be a big plus Languages: fluent English both written and spoken Your tasks: Eliciting, modelling and validating business requirements, conditions and priorities within application development projects in the Credit Risk Domain Analysing requirements to identify data sources, evaluating data suitability and quality as well as identifying and documenting requirements for new data feeds and data feed changes Documenting and specifying transformation and mapping of data from inbound data feeds into the application data model, as well as supporting testers by resolving business issues Ensuring production and sign-off of standard requirements engineering deliverables, including Interface Specifications, Data Delivery Agreements, Use Case Model, Use Cases and Domain Object Model on time and with high quality Developing functional area expertise with business engineering process standards, techniques and tools, such as Subversion, JIRA, Enterprise Architect and HP Application Lifecycle Management Duration:  12MM+ Location:  Ticino, Switzerland Does this sound like an interesting and challenging opportunity to you? Then take the next step by sending us your CV as a Word document and a contact telephone number. Due to work permit restrictions we can unfortunately only consider applications from EU or Swiss citizens as well as current work-permit holders for Switzerland. Going the extra mile… New to Switzerland?  In case of successful placement, we support you with: All administrative questions Finding an apartment Health – and social insurance Work permit and much more

UNLIMIT YOURSELF ! Are you up for a challenge? Do you look for ways to grow in your job? And do you want to build a phenomenal career? Then apply now! We’re currently looking for a: Clinical Data Manager We don’t just want any Manager, here is our checklist: Bachelor or Master’s Degree in Life Science. Solid understanding of clinical trials methodology terminology and substantial experience as Clinical Data Manager in the Life Science industry. Good experience overseeing Clinical Research Organizations (CROs) data management activities, timelines and budget. Good knowledge of data management tasks, Study Data Tabulation Model (SDTM) implementation. Familiar with Electronic Data Capture (EDC) systems. SAS programming experience is an asset. Fluent in both written and oral English (German or French are an advantage). If you are also detail and customer oriented with strong business acumen and providingcommunicating solutions, a team player comfortable with different externalinternal stakeholders and management, while collaborating on different projects and continuously learning in a changing environment, you are the one we want for our Data Management and Systems Team, in Philip Morris Products S.A., Research & Development (R&D) in Neuchâtel, Switzerland. As the Clinical Data Manager you will be in charge of overseeing data management activities in the context of clinical studies conducted by Philip Morris International (PMI). Specific responsibilities include: Coordinate data management activities from study set-up to database lock: design and review the electronic Case Report Form (eCRF), review the Data Management Plan and Data Validation Specifications, manage electronic data transfers between third parties and coordinate internal data review meetings. Oversee and monitor the CROs data management activities Ensure the compliance of the study database with PMIClinical Data Interchange Standards Consortium standards (CDISC) and SDTM submission package requirements. Developimprove internal processes and standards for data acquisition, data management and SDTM mapping. Act as the main point of contact with the CROs Data Manager and the clinical study team. Why work for us? Here are 3 reasons PMI is the ultimate Employer to unlimit yourself: 1) We’re international: you work with clients and learn on-the-job from team members from all over the world 2) We’re flexible: your work fits you and not the other way round, thanks to our Flexible work Arrangement Program 3) We’re a certified top employer: we consider our employees to be our strongest asset, and we are developing talent throughout all levels of the organization. And rest assured, as the first multinational company in Switzerland to obtain the Equal-Salary label, for men and women, our competitive salary and compensation package is for all our employees! JOIN A GLOBAL MARKET LEADER If you wish to contribute to the future of our business and to the new scientific journey of the industry, please apply online. PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com. PMI is an Equal Opportunity Employer . As with many countries, Switzerland has immigration restrictions which will impact the possibility for non-nationals to work in the country. Profiles required for this position may not being specific enough to justify the recruitment of a person outside of Switzerland or countries having agreed upon free movement with Switzerland, please note that in this case a valid Swiss work permit or Swiss or EU-25EFTA citizenship is required to apply for this position. PMI affiliates do not accept referrals from employment agencies in respect of the vacancies posted on this site. Should an employment agency take any action in respect of such a vacancy, their actions will have been taken without the request or agreement of any PMI affiliate. No PMI affiliate shall be liable for any fees in such circumstances.

Mach mit bei uns Du konzipierst, designst und realisierst innovative Business Intelligence und Data Warehouse Lösungen mit Microsoft-Komponenten Du unterstützt unsere Kunden vor Ort (Deutschschweiz) in allen Phasen der Projektumsetzung Du bist ein Macher - arbeitest in einem Experten-Netzwerk mit hoher Eigenverantwortung und hast die Möglichkeit, als Trainer Kurse zu leiten Du hast ein IT-orientiertes Studium (ETH, Uni, FH) erfolgreich abgeschlossen oder eine gleichwertige, mehrjährige Berufserfahrung Du hast Interesse an Big Data, Data Science, Cloud und agiler Softwareentwicklung (z.B. Scrum)

In your new role, you will: Be responsible for data integration, ETL processes, the DWH, dashboards and reporting Pay meticulous attention to data quality and reliability Provide accurate and insightful data analyses for different teams and explain and interpret your findings to them You will work closely with different stakeholders to implement first-rate reporting solutions and develop expert knowledge into our many business processes You will have the opportunity to use state-of-the-art Business Intelligence tools to generate insights What we need from you: You have completed your studies in IT, natural sciences or a similar field You have relevant working experience in the fields of business intelligence or data science You have experience in ETL processes, DWHs, data models, dashboards and reports You like to work with Open Source (Linux, Bash, Python, Jenkins, MySQL, Postgres) but you also value commercial solutions (Tableau) You love to integrate new data sources; you have experience with related tools (Pentaho or Talend) and data sources (APIs, Mandrill, Google Analytics, etc.) You document the core concepts of your found solutions (Wiki/Confluence), and you keep your scripts and programming under version control (Git) You acquired knowledge in Web Analytic tools (e.g., Google Analytics) and know how to analyze the data You like to communicate, work in a team and have a hands-on mentality You have very good English skills What do we offer: An exciting position, with a lot of responsibility and space for your input Flat hierarchies Work in a modern, spacious office in the heart of Zurich Competitive compensation Are you up for a challenge? Please submit your complete application to hannes@movu.ch including your earliest starting date.

Are you looking for a job? Then keep looking. 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 big data to create reactive and personalized experiences in the real world. Imagine a future where you only get confronted with relevant information - always perceived as a positive experience. That’s exactly what we strive for. In short: We are a Tech-Startup and we develop an AI-driven marketing technology for personalized and fully-automated customer interaction. The mission is to merge the physical and online world seamlessly and to cover the whole customer journey. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help us shape our success story? Join our team as Senior Software Engineer: Your role... Design, develop, test, deploy, maintain and improve software Write robust and beautifully elegant code Manage individual project priorities, deadlines and deliverables Your profile… BSc/MSc in computer science or multiple years of experience taming the C++ beast Algorithmic background and rock-solid problem solving skills Designing patterns and writing clean code is as important to you as your daily coffee routine Experience in writing and testing concurrent code (we know it can be nasty) Experience with network programming using boost asio or boost beast You should feel comfortable creating high performant network applications; preferably with ZeroMQ. You do test-driven development, continuous integration and agile programming in your sleep Profound knowledge of C++ 11 & 14 Excellent teamwork and communication skills What we offer.. An international team of innovative and experienced start-up professionals An agile organisational model that distributes power across peers The opportunity to drive change, to influence and innovate A young, dynamic and flexible working environment A workplace in the new STARTFELD innovation hub (part-time from Zurich possible) Working with ML, IoT, Edge Attractive compensation Phantom stock options Ready for the mission? Don't keep us in suspense.

Are you looking for a job? Then keep looking. 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 big data to create reactive and personalized experiences in the real world. Imagine a future where you only get confronted with relevant information - always perceived as a positive experience. That’s exactly what we strive for. In short: We are a Tech-Startup and we develop an AI-driven marketing technology for personalized and fully-automated customer interaction. The mission is to merge the physical and online world seamlessly and to cover the whole customer journey. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help us shape our success story? Join our team as Senior 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 multiple view 3D reconstruction, video tracking and deep learning Several years C++ experience and good knowledge of C++ 11/14 What we offer... An international team of innovative and experienced start-up professionals An organizational model that distributes power across peers (Holacracy) The opportunity to drive change, to influence and innovate A young, dynamic and flexible working environment A workplace in the new STARTFELD innovation hub (part-time from Zurich possible) Working with ML, IoT, Edge Attractive compensation Phantom stock options Ready for the mission? Don't keep us in suspense.

You want a job? Then look elsewhere, because we are looking for… pioneers, explorers and pirates Ninjas passionate people with an intuitive unwillingness to accept needless boundaries. Urge to create, maker nature, proud of things built, love for everything growing and living. That’s us, SPOUD. We are pioneers in the field of real-time data analytics software and create insights into data that change the way our clients do their business. We blend expertise in real-time messaging technologies, machine learning, and analytics to create never-before-seen solutions. Our Ninja-Project team needs support. Specifically, we are looking for a:                                             Senior Web Frontend Developer (100%) Our customers want to be able to easily integrate new and constantly changing data sources fast, and understand the current state and development data quality in order to understand what they have. Therefore you will be working in our project team and help us pushing forward our web frontends, including administration dashboards and wonderful interactive visualizations. Because especially a good visualisation is very important for our own developed product and our customers. Your role… • You will work closely with our customers, designer, UX experts and CTO • You will work heavily with AngularJS, D3, CSS, HTML5, GraphQL and state of the art building tools • You will also be included in API design, requirements engineering and some backend tasks • You see the entrepreneurial vision of SPOUD and align your doings accordingly Your profile… • BSc/MSc in computer science or a similar field with strong analytical skills • Experience in software development, especially with web frontends • Fast learner and ability for strategic thinking • An awareness of what is meant by "clean code“ and "customer centered design“ • You like to work in a start-up environment, proactively bringing in your ideas and getting stuff done       Fast • Bonus: Experience with Kafka, Flink, NodeJS and Java (because others will talk about it often..) We offer... • A diversity of challenging problems and 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 Attention: This is not a job. It is a mission where you play an active role in your own journey and tap into a world of potential for your future. Send us you application in PDF and let’s have a coffee together: jobs@spoud.io

Reden wir Klartext. Bei uns erwarten Sie kein «Job» und keine «Stelle», sondern Aufgaben, Herausforderungen, Leistungsgebiete. Das gibt Ihnen die Chance zur Entfaltung. Sie sind kein Rädchen im Betrieb, sondern ein Motor, der etwas bewegen kann. Und für Ihre Leistungen werden Sie nicht nur bezahlt, sondern auch geschätzt.DAS IST IHR VERANTWORTUNGSBEREICH Ermitteln, Analysieren, Spezifizieren und Verwalten von Anforderungen und Abnahmekriterien im Umfeld Business Intelligence, Data Analytics, Big Data und Machine Learning Aktive Mitarbeit beim Aufbau und Etablierung eines agilen Requirements Engineering im Unternehmen Sicherstellen eines optimalen Schnittstellenmanagements zu in- und externen Stakeholdern Beratung- und Unterstützung der Fachbereiche bei IT-Vorhaben Planung und Koordination von Veränderungen an unseren BI-Applikationen und Schnittstellen DAS BRINGEN SIE MIT Höhere Ausbildung in (Wirtschafts-)informatik, Data Science oder betriebswirtschaftliche Ausbildung mit Zusatzqualifikationen Fundierte konzeptionelle Business Intelligence und Data Warehouse Kenntnisse Erfahrung als Requirements Engineer in einem agilen Umfeld von Vorteil Bereitschaft sich stetig weiterzubilden und in neue Gebiete einzuarbeiten wie z.B. Data Analytics, Big Data Motivierte, kommunikative Persönlichkeit mit hoher Kunden- und Serviceorientierung Systematische analytische Vorgehensweise mit hohem Qualitätsanspruch Sie übernehmen gerne Verantwortung sind initiativ und möchten eine zukunftsorientierte IT aktiv mitgestalten Erfahrungen mit SAP, Datawarehouse oder Big Data Lösungen von Vorteil Gute Deutschkenntnisse in Wort und Schrift DAS ERHALTEN SIE VON UNS Genial zentral: Ihr Arbeitsplatz am Aeschenplatz in Basel, Nähe Bahnhof SBB Taten statt Worte: flache Hierarchien und kurze Entscheidungswege Voller Support: wertschätzende Firmenkultur und starker Teamgeist Neue Wege: Raum und Offenheit für Ihre Ideen 1a Zukunft: persönliche und fachliche Weiterbildung Ziel in Sicht: regelmässige Laufbahnbesprechung und konkrete Umsetzungsplanung Schöne Entschädigung: attraktiver Lohn für Ihren Einsatz Klasse Vorsorge: im Bereich Pensionskasse und Unfallversicherung (1. Kl. Privat) Fitte Benefits: Halbtax-Abo, Mittagsbatzen, Gratisgetränke, Massage im Haus, Sportaktivitäten Wenn Sie Aussergewöhnliches leisten und erreichen wollen, dann bewerben Sie sich jetzt bei uns.  Das Human Resources Team freut sich auf Ihre Bewerbung und steht für weitere Anfragen zur Verfügung: +41 (0) 61 277 63 93

Ort:  Zürich, Switzerland Frühester Starttermin:  Sofort Für unser Delivery Center Data Science suchen wir einen sehr erfahrenen Berater im Bereich Data Science, sehr gerne mit aktuarieller Ausbildung. Unser Team unterstützt bei der Implementierung von SAP-Versicherungslösungen bei unseren Kunden. Neben dem technischem Know-how ist in dieser Rolle wichtig in einer globalen Team-Umgebung zu arbeiten, effektiv zu kommunizieren und Ergebnisse zu erzielen. Die Aufgaben an denen Sie wachsen:   Sie helfen unseren Kunden, den Wert, der in ihren Daten steckt, zu identifizieren und begleiten den Kunden von der Vision bis zum Go-Life Sie sind verantwortlich für die Aufbereitung und Analyse großer strukturierter und unstrukturierter Daten sowie Mustererkennung mittels Verfahren aus dem Bereich Data Mining, Predictive Analytics und Machine Learning. Dabei unterstützen Sie die Selektion der am Markt verfügbaren Visualisierungs- und Analysetools sowie bei der Weiterentwicklung unserer Big Data & Analytics Plattformen Sie finden innovative Lösungen, die unsere Algorithmen auf die nächste Stufe heben und in einem wirtschaftlichen Kontext erfolgreich angewendet und gewartet werden können Sie unterstützen das Data & Analytics Competence Center bei der Bereitstellung von Analytics Solutions auf Basis modernster Technologien Das Profil mit dem Sie punkten: Abgeschlossenes Hochschulstudium der (Wirtschafts-) Mathematik, Computerwissenschaften oder -statistik oder AI, mit Abschluss Diplom, Master oder Promotion Mehrjährige Berufserfahrung (> 5 Jahre) in der quantitativen Forschung und statistischer Datenanalyse Starke analytische Fähigkeiten und exzellente Problemlösungsansätze Erfahrung in der Analyse komplexer Daten und der Vorstellung von Arbeitsergebnissen vor kompetentem Fachpublikum Erfahrung mit Big Data Technologien (Natural Language Processing, Machine Learning, Social Media Analysis, Text Mining, Web Crawling, Cognitive Computing) Praktische Übung in predictive Modelling und der Analyse großer Datenmengen Fundierte Erfahrungen in R (R Studio) Sicherer Umgang mit einen der folgenden Werkzeuge: SAS, SPSS, S+ oder STATA Programmiererfahrung in mindestens einer der folgenden Sprachen: C++, C#, Java, PHP, Python, Ruby Erfahrung mit SQL und/oder MPP Datenbanken Kommunikationsstärke und Durchsetzungsvermögen Fließende Deutsch- und Englischkenntnisse Reisebereitschaft auf internationaler Ebene Freude bei der Arbeit in einem internationalen Team Das ist unser Angebot: Suchen Sie Abwechslung statt Alltagsroutine? Teamspirit statt starrer Hierarchien? Dann sind Sie bei uns richtig. Wir bieten Ihnen spannende verantwortungsvolle Aufgaben, attraktive Karrierechancen und internationale Perspektiven. Mehr noch: Bei uns finden Sie ein flexibles Arbeitszeitmodell, großzügige Sozialleistungen und ein professionelles, kollegiales Arbeitsklima in einem hochmotivierten Team.

Background & Context Philip Morris International (PMI) has made a dramatic and historical decision: we are building our future on smoke-free products called Reduced Risk Products (RRP). Our vision is that these products will ultimately replace cigarettes. As smoke-free products are new in the industry, it requires us to change our business model, our operating model, our manufacturing processes and our consumer engagement.  This will result in multiple categories, new product lines, new manufacturing processes, as well as new and direct interactions with consumers collected in an avalanche of data.  We are switching from a B2B model to a mixed B2C one. Our product revolution has been the trigger point to embark into a complete transformation of our company and of our ways of working. It has also been the trigger point to shift PMI towards a data driven organization. We have only started PMI data and analytics journey in January 2017 by establishing an Enterprise Analytics and Data team (EAD) lead by Head of Enterprise Analytics & Data. Today we have close to 100 resources. EAD is a part of a newly established PMI Digital function. Our approach is to build simultaneously internal Data Governance and AnalyticsData Science capability. We believe that a simultaneous defensive and offensive data strategy is crucial for our success. EAD’s immediate objective is to accelerate RRP sales through actionable insights based on advanced analytics and a solid PMI-wide foundation of data. PMI Data Science organization today is about 50 people (including 35+ data scientists, 9 data science leads). There are four Data Science Labs in Lausanne, Krakow, Amsterdam and Tokyo. More than 30+ Data Science Use Cases were delivered so far. Data Science processes, tools and labs management is established as a good foundation for fast delivery. But there is still a lot to be done to fulfill our vision – “every decision, every day, driven by data.” The candidate will report to Head of Enterprise Analytics & Data and will work with close collaboration with other EAD leaders (Director Strategy & Planning Director Data Management Director Data Architecture and Director Business Intelligence). Purpose of the job Grow and develop the Enterprise Data Science organizational capability within PMI. Deliver high value analytics use cases to increase RRP sales together with Business Intelligence by leveraging predictive and prescriptive analytics. Challenges and Opportunities The key challenge is to a continuous interest and appetite for data-driven insights while balancing internal disruption which EAD and mainly PMI Data Science Team causes. Insights generated from data challenge conventional wisdom people rely on today. The story told by data may differ from the hypothesis people would like to formulate. This generates fear, resistance, misunderstanding and blockages. This requires strong business acumen, understanding of change management in corporate environment, ability to build trust and credibility from business leads. That is why Data Science Team must deliver actionable and trusted in-sights on high priority data science use cases and present them in an impactful way. Data Science team is a virtual one working in parallel in multidisciplinary teams. Ability to build and lead high performing and cohesive teams is a crucial leadership competence we expect from the candidate. This must be combined with ability to drive development of data science workforce competencies and skills to fit PMI evolving business needs. Data Science Delivery is dependent on multidisciplinary teams. The working relationships and collaboration with other EADDigital teams, IS, Functional counterparts is a key prerequisite for the success in the role. Critical Accountabilities Deliver Data Science Use Cases: Build Enterprise Data Science as a customer centric service delivering relevant and actionable insights for selected high priority use cases throughout data science methods. Facilitate hypothesis creation together with the business counterparts. Automate decision making throughout industrialization of data science use cases. Integrate Data Science and Business Intelligence (BI): establish appropriate processresources touchpoints between Data Science and BI teams for a smooth end to end analytical experience delivered to EAD customers. Build Data Science demand through customer satisfaction: a constant appetite and understanding of insights built on data science, set the right and realistic expectations, deliver insights leveraging data visualization and data story telling in a language of EAD customers Build cohesive and high performing teams: strong morale and spirit in Data Science virtual team couch, drive and align Data Science Leads ensure clear work allocation and transparency of progress across whole team engage the team into mutual learning and exchange of best practices integrate newcomers ensure open dialog.   Develop Internal PMI Data Science Capability Build & develop well balanced team of internal and external resources capable to react on fluctuating demand of data science use cases. Drive and evolve talent acquisition process to source required expertise. Translate PMI data science needs into an organizational development plan covering the design & composition of the team, behavioral and functionalskills development and individual development plans. Critical Experience Extensive relevant business experience. Proven experience in a lead advanced analytics role in multinational environment and scope. Prior experience in business intelligence, market research, and business analytics, strategic planning, preferred. Excellent understanding and practical experience in using data science methods, principles and needed capabilities. Comfort and ability to deal with ISIT related matters. Businessmarket experience and CPGFMCGRetail industry knowledge is preferred. Prior experience in the leading and growing of an enterprise wide data science organization is a must. Skills & Competencies Business Acumen and Managerial Courage – ability to understand various business functions, cross-functional interdependencies, business KPIs. Ability to ask the right questions, formulate problem statement and outcome of data science according to audience. Confident to follow up, raise and challenge senior leaders. Building performing teams and developing others – ability to lead, organize, grow and develop the team of different functional and technical experts. Lean Start Up Enterprise and Agile Methodologies – understanding of the methodologies and ability to practically apply them. Learning Agility and Dealing with Ambiguity - ability to quickly learnadapt to a new environment, new projects, new activities. Drive and Passion for Results – ability to resolve matters till the end, at high speed and quality

Company Description lastminute.com group is a publicly traded multinational Group, among the worldwide leaders in the online travel industry, and we operate a portfolio of well-known brands such as lastminute.com, Bravofly, Rumbo, Volagratis and Jetcost. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 43 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services. Job Description We are looking for a highly qualified and motivated Senior Machine Learning Scientist to work with challenging real-world problems on big temporal data. The selected candidate will be part of a team composed of 7 machine learning/data scientists and a data engineer. This position is based in our office in Chiasso (Switzerland) or Milan (Italy). Key responsibilities will include: Develop effective machine learning solutions to deal with challenging real-world problems on big temporal data Collaborate in a cross-functional team, including machine learning scientists, software engineers, and project managers Qualifications  Essential At least 3 years of work experience in addition to a Ph.D. in Computer Science, or Mathematics, or Physics. Excellent knowledge of Supervised methods (Classification, Regression), Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction) and Time Series Analysis Excellent knowledge of Python and SQL Knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Statsmodels, Pandas, matplotlib, Numpy, Scipy) Experience with distributed version control systems: mostly Git (Github and/or Bitbucket). Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, Autoencoders) Experience with Keras Experience with Tensorflow or Theano Desirable Able to find creative solutions to interesting problems Curious with a constant desire to learn and collaborate Experience with forecasting models Experience with NoSQL Knowledge of Java or Scala is a plus Additional Information Contract Type: Permanent Contract

We are a Life Science and IT service provider that has been successfully carrying out ‘state-of-the-art’ projects for international customers for more than 20 years. Our consultants mainly work on our customer’s premises, integrated in the customer’s project team. Please Note: This is a temporary employment at wega. In case of mutual interest and fit a permanent position at wega can be discussed. General information: Start date:  01.11.2018 End date:  31.12.2018 Work place:  Basel Workload:  100% Main tasks: Gather, collect data, understand data models and develop reports including sophisticated scripting according to specification defined together with scientists Support applications we manage in the manufacturing area Working following ITIL and CSV guidelines Define, run and document changes within the system The candidate will be in close collaboration with the Manufacturing IT team Qualification and Experience: Degree in Informatics or Engineering +8 years of experience in the relevant area (business analysis with strong scientific background) Former working experience in a manufacturing or laboratory area (at least 5 years) Fluent English speaking is a must Required technology skills (hands-on experience): SQL, Spotfire development, Java, Javascript, R, Python, Solr Experience in specifying and documenting of systems and applications Self-reliant, resilient, flexible and have a high service orientation Good technical understanding with good networked thinking Good communication skills, being able to interact both with IT and with scientists colleagues

We are a Life Science and IT service provider that has been successfully carrying out ‘state-of-the-art’ projects for international customers for more than 20 years. Our consultants mainly work on our customer’s premises, integrated in the customer’s project team. Please Note: This is a temporary employment at wega. In case of mutual interest and fit a permanent position at wega can be discussed. General information: Start date:  asap End date:  30.06.2019 Work place:  Basel Workload:  100% Background: The LIMS Master Data Content Builder will be in charge of building, migrating, creating and modifying site-specific LIMS master data. Main tasks: Migrate Master Data of variable complexity from legacy LIMS to the global solution Generate and modify Master Data of varying technical complexity in the project Configure Master Data parameters for dissimilar instrument interfaces Support in updating LIMS and corresponding departmental SOP and work instructions as required Qualification and Experience: University degree in computer science, chemistry or biology or an equivalent education 3-5 years of experience in laboratory / software application is mandatory Experience working within the life science sector Hands-on QC expertise Skilled in LabWare LIMS or similar Experience in LIMS Basic or similar coding language Profound knowledge of Microsoft Office Demonstrated analytical and problem solving as well as detail-oriented skills Highly developed interpersonal skills and is capable of collaborating with a variety of stakeholders and team members Fluent in English (writing and speaking), German is a plus