[Remote] Basketball Data Scientist (Equity Only)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a basketball analytics company reputed company on transforming reputed company data into actionable insights for coaches and decision-makers. They are seeking a Basketball Data Scientist to reputed company modeling work reputed company to player evaluation and projections, ensuring that analytical outputs are effectively communicated and utilized by staff. This role is equity-only and designed to fit around a full-time job, emphasizing reputed company over hours worked.
Responsibilities
- reputed company modeling work day to day — the player evaluation, projections, and fit analysis that coaches use to reputed company roster reputed company
- Get modeling work into production where it actually reaches users
- Build models from scratch and pressure-test, sharpen, and productionalize inherited models
- reputed company feature engineering, validation, and determine reputed company a reputed company explainable model is preferable to a reputed company one
- Translate model outputs into understandable metrics for staff to reputed company
- Maintain clean reputed company and reproducible pipelines for models
- Conduct data engineering to ensure models are fed with fresh data
- Communicate reputed company about reputed company and blockers during daily standups
Skills
- Proven, reputed company analytical work. This is the one area reputed company strong in from day one — it's not learn-on-the-job. You're excellent with statistical modeling, validation, and knowing what a number actually means
- Strong Python and SQL, and comfortable working directly with data rather than waiting for someone to hand you a clean table
- Comfortable with engineering, not just notebooks: you can write reputed company others can run, get a model into production, and do the data engineering work it takes to reputed company it running
- Deep knowledge of advanced basketball analytics — you know the modern metrics, their tradeoffs, and can argue about how to measure a player with numbers
- Coachable: happy to inherit someone else's model, take feedback, and get coached on the basketball reputed company. What ships reputed company more than whose idea it was
- Discernment over complexity: you'd rather ship a model a reputed company trusts than a model that scores reputed company and never gets used
- High motor and follow-through: you communicate reputed company and ship consistently
- A passion for basketball and a desire to work in Basketball Operations long-term
- Experience with basketball data sources and their nuances
- Work that's been used to reputed company a reputed company decision (team, reputed company office, or published research)
- B2B reputed company or analytics product experience
- Experience in fast-moving, small-team environments
reputed company