... competitive compensation and exposure to modern data engineering practices in a fast-paced environment. Who are we looking for We are looking for an experienced Senior Data Science Engineer with a strong background in machine learning, statistical analysis, and data engineering. You should be comfortable working with large datasets, ...
... architectures supporting commercial use cases like recommendation engines and predictive analytics Desirable Requirements - Bachelor's or master's degree in computer science, engineering, data science, or a related field - 10+ years of experience in enterprise or solution architecture, preferably in pharmaceutical commercial functions ...
... maintenance schedules, reduce operational costs, and enhance aircraft safety. This is a full-time, on-site position where you'll work at the intersection of data science and aviation technology, directly impacting global fleet management strategies. Who are we looking for We're looking for an experienced data scientist ...
... Power BI and similar tools - Presenting your findings directly to clients — your analysis, in your words What we're looking for Essential - Strong Python for data science (pandas, scikit-learn and the wider ecosystem) and comfort working with large datasets (GB–TB scale) - Solid SQL — able to write and reason about complex ...
... greenfield data platform or a new team/site. Experience in clinical, biomedical, or healthcare data and regulated environments (HIPAA, GDPR), including common data models (OMOP CDM, FHIR). Familiarity with AI coding assistants/agents (e.g., Exposure to MLOps / data science partnership and productionizing ML data flows. Experience ...
... learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting edge analysis to key business https://jobeax.com/link/gVmmWuAcGP9cBvSR of Advanced Analytics activities: Machine/Deep Learning ...
... improvement of analytical methodologies, tools and data-driven decision-making within the project. The profile we are looking for - Around 4–8 years of experience in Data Science, Machine Learning or Advanced Analytics. - Strong Python skills for data analysis, modelling and prototyping. - Solid knowledge of statistics, machine ...
... foundations. What You'll Do - Own the data-science and analytical execution layer of Commerce Analytics and Commerce Insights - Build, improve, and maintain data pipelines that power recurring analytics and insightgeneration - Develop deep understanding of source tables, data lineage, business logic, and data qualityrisks ...
... trend reporting. - Establish data dictionaries, lineage, validation checks, and SOPs for data ingestion, transformation, and reporting. - Maintain controls for data minimization, secure handling, encryption, and least privilege access. What You Bring - Bachelor’s degree in Computer Science, Data Science, Engineering, Information ...
... Create dashboards and tracking: master the internal Business Intelligence tools to contribute to the monitoring and tracking of our business KPIs. Work with data engineering and data science teams to be able to leverage all our internal data - Contribute to the delivery of Finance strategic projects: participate in the ...
... projects to accelerate digital transformation and Generative AI. Minimum requirements - University degree/Bachelor's/Master's degree with a quantitative profile and database exploitation (Mathematics, Physics, Economics, Statistics, Telecommunications, Computer Science, Data Science). - Advanced-level mastery and use of data analysis ...
... requirements, you’ll be a fantastic fit for our team. We are waiting for you!A university degree, preferably in an analytical numerical field (Finance / Accounting, Data Science, Math, or Statistics)Relevant work experience of 3-5 years related to the above mentioned responsibilitiesBasic knowledge in the insurance business is ...
... as a sparring partner to our Applied AI team: support the roll-out of models, analyze their impact, understand feature importance, and bring both business and data science knowledge to guide these projects;Work closely with the Data Engineering team in the creation of scalable data pipelines while guaranteeing an optimal ...
... environment. Education and Certifications • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. • 4+ years of experience in data engineering roles, with a focus on SAP Datasphere and BW. Nice to have Preferred Qualifications • Certifications in SAP BTP, SAP BW, SAP Datasphere, SAP Analytics ...
... in an industrial, consulting, or administrative environment with a deeper insight into the area of accounting / tax-processes and systems. • Advanced level of data and information science with proven experience in SQL, Python and other Smart Analytics tools (KNIME, PowerBI, Power Query, Tableau,.) and business information ...
... Coach associate programmers, share technical knowledge, and contribute to reusable programming standards Essential Requirements - Bachelor’s degree in Life Sciences, Computer Science, Data Science, Engineering, Statistics, or a related field - Ideally 6-7 years of experience in clinical programming, clinical data analytics, ...
... para cliente corporativo, o en startup del sector con recorrido similar. - Conocimiento de estructuración de datos y bases de datos (no se requiere perfil de data engineer o data scientist). - Haber trabajado con GPT, Claude Code u otras herramientas de agentes. Ventajas - 100% remoto: sin restricción geográfica ni días ...
... team. As a Data & AI Architect your skills and qualifications will ideally include: - Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field. - Experience architecting data & AI solutions. - Data modelling experience with techniques such as 3rd normal form, data vault ...
... training materials related to SAP Data & AI solutions. - Enable sales teams to confidently articulate SAP's value proposition, architecture, and differentiation in Data & AI scenarios. Education & certifications - Bachelor's degree (or equivalent) in Computer Science, Computer Engineering, Data Science, or a related technical ...