Senior Manager, Data Science

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Chess.com

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🎮 Gaming

📚 Education

📱 Media

💰 Private Equity Round on 2022-01

Gaming • Education • Media

Chess. com is the leading online platform for playing and learning chess, offering a wide range of features such as live gameplay with other players, customizable training bots, chess puzzles, and comprehensive lessons. The platform is highly regarded for enhancing players' pattern recognition and overall chess skills. Chess. com also provides coverage of major chess events like the FIDE World Championship. With a focus on creating a supportive and engaging community for chess players of all levels, Chess. com is a go-to resource for anyone interested in improving their chess game or enjoying competitive play.

📋 Description

• Own high-impact data science work across product data science and fair play • Create and build novel algorithms, models, and data-powered features that directly shape the chess experience for our users • Partner across the company on product vision and execution • Work closely with product managers, engineers, designers, and writers • Design and deploy creative heuristics, algorithms, and models that identify cheating at scale • Raise the quality and sophistication of our approaches over time • Manage a lean team of data scientists • Turn strategy into clear team objectives and results • Help data scientists grow into scientists who can operate with more speed and independence over time • Communicate early and often

🎯 Requirements

• 5+ years of data science experience • 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 enough depth to contribute meaningfully to models across the chess data stack • 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.

🏖️ Benefits

• 100% remote (work from anywhere!) • Good overlap between Eastern time through Pacific Time zones