Pubblicato il Pubblicato 9h fa
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We are seeking a Data Scientist and Application Developer to join a cross‑functional team that delivers data‑driven solutions tied to manufacturing in a GMP environment.
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The role alternates between building business applications that enable fast, iterative analytics and operationalizing models that directly inform product quality decisions.ResponsibilitiesBuild and maintain internal web applications (both GMP and non‑GMP) that make analytics usable in day‑to‑day workflows.Develop services using Python with Flask (and/or FastAPI where appropriate) – lightweight APIs for data access and model execution, and user‑facing interfaces using Flask + Jinja, optionally adding React for richer interactions.Implement pragmatic software engineering practices (modular design, testing, logging/monitoring hooks, clear documentation) aligned to intended use (GMP vs non‑GMP).Apply strong fundamentals in statistics, data extraction, cleaning and modeling to diverse manufacturing datasets (batch/process time series, quality data, laboratory and instrument outputs).Develop, evaluate, and document models to support insights into manufacturing performance in a GMP environment, focusing on interpretability and lifecycle considerations.Collaborate with engineers, scientists and quality partners to define problems, select fit‑for‑purpose methods, and translate outcomes into operational decisions.Communicate findings clearly to technical and non‑technical stakeholders; create reusable analysis patterns and templates.Use Git fluently in a team setting (branches, pull requests, code reviews).Contribute to maintainable, supportable solutions on an internal hosting platform; collaborate with platform/IT partners as needed.Follow good documentation and change practices appropriate to regulated and non‑regulated use, ensuring solutions are understandable and auditable whe