Data Scientist
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Job Description
Data Scientist building production forecasting, classification, and GenAI solutions. Applying agentic coding, LLM APIs, and cloud platforms for Capgemini Engineering clients.
Responsibilities:
- Develop and apply machine learning models for forecasting and classification
- Build GenAI products using RAG, vector search, and agents with tool use
- Implement agentic solutions using Claude Code, Codex, or Cursor
- Run LLM API batch or asynchronous jobs at scale for data labeling and metadata extraction
- Use SHAP to explain and debug models for non-technical stakeholders
- Work with cloud and data platforms including Azure, Databricks, GCP/Vertex, or AWS/SageMaker
- Provide data science and engineering services to innovative companies across industries
Requirements:
- Strong SQL: complex joins, CTEs, window functions, and query performance tuning
- Strong Python
- PySpark or similar
- Real forecasting and classification work (demand forecasts, lead scoring, propensity) in production or serious projects; coursework does not count
- XGBoost and/or LightGBM in production
- SHAP to explain and debug models for non-technical stakeholders
- Hands-on agentic coding with Claude Code, Codex, or Cursor
- Built GenAI products including RAG, vector search, and agents with tool use
- LLM APIs at scale: batch or async jobs with thousands of calls
- Azure and/or Databricks preferred; strong GCP/Vertex or AWS/SageMaker experience is acceptable
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