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.
Salary not listed
Remote5+ YOEData Science
About the role
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
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