Data Scientist (m/w/d)
Core
Analyzing pharmacy customer data to build scoring models, segmentation, and AI-driven workflows for sales force and media planning.
Role type
Data Scientist (B2B analytics & ML)
Builds
Predictive models, data pipelines, and analytical dashboards for the pharmaceutical sales and marketing teams.
Domain
Healthcare / Pharmacy / B2B Marketing
Deliverable
production ML models | dashboards & analysis
Required skills
Python (Pandas, Scikit-learn), SQL, statistical analysis, data modeling, ETL pipeline development, data quality validation, LLM integration, Power BI visualization
Preferred skills
Microsoft Fabric/Azure, REST/API integrations, data warehousing concepts (star schema, Data Vault), knowledge of German healthcare market
Technologies
Python, SQL, Microsoft Fabric, Data Factory, Dataflows, Power BI, LLM APIs
Responsibilities
Develop scoring models and targeting logic for pharmaceutical sales; build and maintain ETL/ELT pipelines for customer data integration; create visualizations and reports for stakeholders; collaborate with product management and IT to transition prototypes to production.
Seniority
Mid-level, hands-on IC
