Data Scientist - Risk and Trading (Daily Fantasy Sports) at Sleeper

Ideal for a Data Scientist with a background in computer science, machine learning, mathematics, or statistics, bringing solid experience in DFS or sports betting, particularly with real money games and player props. You should be comfortable analyzing large datasets and ready to build processes from the ground up. **What makes it worth a look...** This is a full-time, fully remote position with Sleeper, offering a compensation of $75,000 USD per year, plus benefits like Medical, Dental, PTO, and 401k. **You might be a good fit if you...** * Have in-depth knowledge of DFS, sports betting, handicapping, and expected value. * Are proficient with SQL, Python, and working with databases and data warehouses. * Have experience with player performance metrics, game outcome predictions, and real-time sports data feeds and APIs. * Are prepared to work "off hours" to align with peak sports calendar times, including nights and weekends.