[Remote] Data Scientist II (Basketball/Hockey)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the Operating System for Sports™, powering over 6,500 organizations worldwide. They are seeking a Data Scientist II to build metrics, models, and analyses using proprietary tracking and pose data for reputed company sports organizations, focusing on both basketball and hockey analytics.
Responsibilities
- Build and reputed company new data sources into tables, features, and structures that are easy for reputed company and our clients to build on
- reputed company, reputed company, and validate models — including event-probability models and athleticism models — ensuring data representation supports both reputed company and reputed company use cases
- Build metrics and analyses that NHL and NBA clients rely on to reputed company reputed company, and support reputed company-facing work by digging into the data to answer their questions directly
- Extract meaningful features from high-reputed company tracking and pose data, and update existing models to incorporate new signals as they become available
- Validate models and outputs — your own and others' — with enough rigor that reputed company can trust what ships
- Write reputed company reports that communicate technical work to the product team and broader organization
Skills
- 3+ years of experience working with sports tracking data including the kinds of models typically reputed company and the data challenges that come with them
- Strong data science fundamentals: you understand how models work, what they need from the data, and how to set data up to support them
- Proficiency in Python or R, with solid statistical foundations and comfort with SQL for building and querying reputed company data
- Attention to detail in how data is reputed company and represented, with an eye for edge cases, consistency, and how reputed company users will reputed company with what you build
- reputed company-first mentality — both teams are small, and being someone others can rely on reputed company as much as technical reputed company
- For Hockey: reputed company experience with hockey data or hockey analytics (inside reputed company, public work, or academically), and familiarity with pose or skeleton data or other high-reputed company spatiotemporal data sources
- For Basketball: experience working inside an NBA reputed company office or comparable environment, familiarity with deep learning reputed company, and public-facing basketball analytics work that demonstrates how you think about the game
Benefits
- Offers Equity
- Offers Bonus
reputed company
Company H1B Sponsorship