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 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 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, JavaScript).
• 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 FastAPI 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., EntraID). Not required but a plus.
• Familiarity with containerization/DevOps 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.

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