Skip to content
Chess.comChess.comUnited States

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.

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

Skills

PythonSQLBigQueryGCPMachine LearningAnomaly DetectionData PipelinesAgentic WorkflowsCursorClaude Code

Similar roles

Data Science jobs
Solace

Data Scientist Manager

SolaceUnited States

Lead and grow a team of 4-6 data scientists at a healthcare startup. Own predictive analytics, marketplace forecasting, and production ML models (matching, quality scoring) while partnering cross-functionally to drive business impact. Requires 6+ years DS experience including 2+ years managing technical teams, strong Python/ML/SQL skills, and production ML expertise.

Salary not listed
Remote6+ YOEData Science
PrizePicks

Senior Data Science Manager, Growth & Retention Marketing

PrizePicksAtlanta, GA

Lead a team of data scientists focused on marketing analytics for retention and acquisition. Oversee production ML models, causal inference projects, and LLM integration to drive marketing decisions and business outcomes. Requires 7+ years data science experience including 3+ years managing teams.

180k – 210k
Remote7+ YOEData Science
Onos Health

Lead Data Scientist

Onos HealthSan Francisco, CA

Lead Data Scientist owning development of core predictive AI/ML models on messy healthcare claims and clinical data to identify waste and improve behavioral health outcomes for payers. Requires 8+ years experience, leadership of data science teams, production model deployment, and strong Python/SQL/ML skills.

Salary not listed
Hybrid8+ YOEData Science
Honor

Senior Manager, Data Science

HonorUnited States

Lead a Data Science team building production ML, optimization, and AI systems (including agentic workflows) to solve complex operational problems in caregiver-client matching, scheduling, and risk identification for home care. 7+ years experience with 3+ years managing teams; player-coach role partnering with Product, Engineering, and Operations.

229k – 254k
Remote7+ YOEData Science
Plaid

Senior Data Scientist

PlaidSan Francisco, CA +2

Senior Data Scientist on Plaid's Network Value team supporting the Guard product. Translate product questions into analysis, build metrics/OKRs/dashboards, run experiments, and drive data-informed decisions for a 0-to-1 user-facing fintech product.

191k – 263k
Hybrid5+ YOEData Science