Credit risk modelling data scientist developing and maintaining models for Desjardins. Guiding risk quantification, credit decisions, compliance, and practitioner - led modelling projects.
About the role
- Senior Data Science Manager leading high-impact projects and building algorithms at Chess.com. Collaborating with cross-functional teams to enhance chess experience for users.
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 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
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