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Data Scientist - Commercial Data Products (Optimization & Pre-Call Intelligence)

EPAM·Salary not specified

Primary stack

SnowflakePythonSQL

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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