Senior Manager, Data Science
Lead data science efforts at Chess.com, managing a lean team while building algorithms and models for fair play detection and product features. Requires 5+ years experience, strong Python/SQL skills, ML fundamentals, and proven leadership/mentorship ability.
About the job
Responsibilities
- Own high-impact data science work across product data science and fair play
- Create and build novel algorithms, models, and data-powered features that shape the chess experience
- Design and deploy creative heuristics, algorithms, and models that identify cheating at scale
- Partner across the company on product vision and execution with product managers, engineers, designers, and writers
- Manage a lean team of data scientists: turn strategy into clear team objectives, set quality bar through own work, give feedback, and help data scientists grow
- Communicate proactively in a fully remote culture
Requirements
- 5+ years of data science experience with demonstrated track record of developing algorithms and models, contributing to shipped features, and driving real user value
- Strong Python and SQL skills; experience building and working within data pipelines using BigQuery and GCP or similar cloud databases & storage at scale
- Comfortable with agentic workflows and tools (Cursor, Claude Code or similar)
- Solid machine learning fundamentals with depth to contribute to models across the chess data stack, including anomaly detection for fair play
- Proven ability to communicate findings clearly to both technical peers and senior non-technical stakeholders
- Experience managing or meaningfully mentoring other data scientists or analysts
Nice-to-Haves
- Deep familiarity with chess, rating systems, and cheating detection
- Experience on a consumer gaming or entertainment platform
- Comfort working in lean, high-ownership team environments
Skills
Python, SQL, BigQuery, GCP, Machine Learning, Anomaly Detection, Data Pipelines, Agentic Workflows, Cursor, Claude Code
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