Data scientist and application developer

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. The role alternates between building business applications that enable fast, iterative analytics and operationalizing models that directly inform product quality decisions.

Responsibilities Build 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 Fast API 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 when required. Required Qualifications Bachelor’s degree (or higher) in Data Science, Statistics, Computer Science, Engineering, or a related field (or equivalent practical experience). Strong data science fundamentals: basic statistics, experimental reasoning, data wrangling, exploratory analysis, model building and evaluation. Proficient Python skills for both analysis and application development. Familiarity with basic SQL fundamentals. Experience building user‑facing applications using Flask, templates/Jinja and basic front‑end concepts (HTML, CSS, Java Script). Ability to work with diverse, imperfect datasets and iterate toward robust solutions. Strong collaboration and communication skills in a cross‑functional environment. Preferred Qualifications Familiarity with Fast API and API design concepts. Experience supporting software or analytics in regulated/GMP‑like environments (validation mindset, documentation discipline, traceability). Exposure to manufacturing, pharma, chemical, or other industrial process data. Knowledge of Azure services and/or identity concepts (e.g., Entra ID). Not required but a plus. Familiarity with containerization/Dev Ops practices (e.g., Docker, CI/CD). Salary & Benefits

Anticipated base pay range: €48,600.00–€77,395.00. In addition to base pay, a bonus may be offered, vacation days, parental leave (minimum 12weeks), bereavement leave, caregiver leave, volunteer leave, wellness reimbursement, and various insurance plans. The benefits package may vary by location. #J-18808-Ljbffr