- Strong SQL: complex joins, CTEs, window functions, and query performance tuning (+4 years experience)
- Strong Python (+4 years experience)
- PySpark or similar (+2 years experience)
- 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.
Must-have: GenAI / agentic
- 6+ months of daily, hands-on agentic coding with Claude Code, Codex, or Cursor.
- Has built (not only advised on) GenAI products: RAG, vector search, agents with tool use.
- LLM APIs at scale: batch or async jobs with thousands of calls (data labeling, metadata extraction from text), not one-off prompts.
Must-have: platform
- Azure and/or Databricks (both preferred). Strong GCP/Vertex or AWS/SageMaker experience is acceptable.
Big pluses
- Recommendation engines or personalization.
- Web apps built with coding agents.
- APIs with FastAPI, Docker, and end-to-end deployment.
- React / Next.js.
📌 Data Scientist (México)
🏢 SysTechCorp
📍 México
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