Data Scientist

• 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

• 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