Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze complex pharmaceutical market data, develop algorithms and predictive models, while also building ETL processes and integrating AI components, presenting findings through understandable visualizations.
Job Technologies
Your role in the team
- You analyze, model, and prepare complex pharmaceutical market data from wholesale and pharmacy.
- You develop algorithms, predictive models, and scoring systems.
- You design and develop analytical workflows as well as analytical products.
- You build data pipelines and ETL processes based on our existing SQL Server stack and automate them.
- You integrate AI components (e.g., LLM-powered workflows or predictive analytics) into existing product features.
- You translate analytical results into understandable visualizations and reports for internal and external stakeholders.
- You work closely with product management and IT development to turn prototypes into production-ready solutions.
- You document analytical models and ensure their quality.
- You identify new data potentials and independently develop proposals for innovative use cases.
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Our expectations of you
Education
- Completed degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Qualifications
- Very good German language skills (Level C1/C2).
- Ability to communicate complex analytical results clearly and in a structured manner.
- Independent, structured working style with a pragmatic focus on results.
- Very good German skills; good English skills for technical documentation.
Experience
- Experience in data analysis and model development, preferably in a data-intensive B2B environment.
- Excellent Python skills as well as solid SQL knowledge; experience with SQL Server is an advantage.
- Proven experience in building ETL processes, data pipelines, and reproducible workflows.
- Experience with AI-powered development of AI tools for code generation.
- Advantageous: Knowledge of the healthcare environment; experience with BI tools (Power BI, Tableau), cloud computing.
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What we offer
- Stable corporate environment with a clear growth strategy and long-term employment prospects.
- Unique data treasure: Access to one of the most comprehensive pharmaceutical datasets in Germany.
- Direct product relevance: Your models are integrated into products that customers use daily.
- Modern tech stack: Python, SQL Server, cloud integration, and AI/ML components.
- Design space: flat hierarchies, short decision-making paths, close connection to management.
- Hybrid working: Office in Frankfurt am Main and remote by arrangement.
- Long-term perspective in a growing key role within the company.
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Topics You Will Work On
Job Locations
About Your Employer
GESDAT Gesellschaft für Informationsmanagement mbH
GESDAT Gesellschaft für Informationsmanagement mbH is a renowned company based in Frankfurt am Main, specializing in quantitative market research for the German pharmaceutical sector since 1999. It provides up-to-date data and analytical products for various market participants, including manufacturers and pharmacies. With a focus on big data and information services, GESDAT plays a significant role in the healthcare industry.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Data Scientist
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
