
Data Scientist - Commercial Data Products (Optimization & Pre-Call Intelligence)
Primary stack
Job description
About the Position
We are seeking a Data Scientist - Commercial Data Products (Optimization & Pre-Call Intelligence) to join our team in Copenhagen, Denmark. This hybrid role will drive the development of commercial data products for enterprise CDP teams, leveraging AI-enabled engineering excellence and cloud-based innovation labs (Snowflake).
Responsibilities
- Design, build, and validate ML models for Commercial Optimization and Pre-Call Intelligence use cases
- Consume features from the Feature Store (Dataiku/Snowflake); flag gaps back to Data Engineering
- Perform exploratory data analysis, feature selection, and model experimentation in Dataiku
- Train, tune, and evaluate models
- Deploy and monitor models in production via Dataiku
- Translate model outputs into business-ready insights with product and commercial stakeholders
- Collaborate with Data Engineering, product, and delivery teams
Requirements
- At least 5 years experience as a Data Scientist in a Commercial Enterprise context
- Hands-on ML model building and deployment in Dataiku (or similar)
- Strong Python and SQL
- Solid grounding in statistics and ML fundamentals
- Comfortable in governed enterprise environments
- Healthcare, claims, HCP, support-program, or CRM data experience (preferred)
- Life sciences / pharma commercial analytics background (preferred)
Skills
- Data Science
- Dataiku Data Science Studio
- Python.ML
- SQL
- Snowflake
About the Company
Join our team in Copenhagen, Denmark, and be part of a dynamic environment that values innovation and excellence in data science.
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