Data Scientist – Simulation/Sports Modeling
| Company | PrizePicks |
|---|---|
| Location | Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Junior, Mid Level |
Requirements
- Prior work experience/internships in a production environment.
- Experience building machine learning models from scratch.
- Advanced knowledge of sports and their related statistics and modeling methodologies.
- In-depth knowledge of Python and SQL.
- Familiarity with lower-level programming languages (Rust, C++, Java, etc.)
Responsibilities
- Develop novel modeling techniques specific to predicting sports outcomes.
- Clean complex sport-specific datasets and construct workflows to feed data into modeling frameworks.
- Ideate new methods of modeling correlated events in sports.
Preferred Qualifications
- Familiarity with advanced sports statistics and analytics platforms used in professional basketball or football.
- Experience working with real-time sports data feeds and APIs.
- Software engineering/computer science background
- Knowledge of sports betting concepts and daily fantasy sports a plus.