Data Scientist - Risk and Trading (Daily Fantasy Sports)

About Sleeper

Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper's product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports (DFS) games and applications.

Role

We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function.

Responsibilities

• Support risk and liability management with respect to Sleeper's DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights
• Develop predictive models and algorithms to better understand Sleeper's real-time liability, including risk exposure related to specific markets and events
• Conduct data wrangling, processing and cleaning operations, and design processes and tools for monitoring and analyzing performance and accuracy
• Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments and suspensions
• Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem
• Automate risk processes and workflows