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Data Scientist - Risk and Trading (Daily Fantasy Sports) at Sleeper
SleeperRemote, United States·2d ago
Mid LevelFull-timePythonMachine LearningData Science
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Data Scientist with relevant DFS or Sportsbook experience to support Sleeper’s risk and trading function. This role involves analyzing data, developing predictive models, and monitoring real-time odds to manage risk and liability in our DFS operations.
Key Responsibilities
- →Support risk and liability management for Sleeper’s DFS operations through data analysis and modeling
- →Develop predictive models and algorithms to understand real-time liability and risk exposure
- →Conduct data wrangling, processing, and cleaning operations
- →Monitor real-time odds, player statistics, and breaking news to make market adjustments
- →Build user risk profiles and collaborate with product and engineering teams
- →Automate risk and trading processes to scale for growth
Requirements
- ✓Background in computer science, data science, machine learning, mathematics/statistics, or a similar field
- ✓In-depth knowledge of DFS, sports betting, player props, and handicapping
- ✓Experience with high volumes of DFS/sports betting and real money games
- ✓Proactive and ready to build processes from scratch
- ✓Comfortable working off hours to align with sports calendar peaks
- ✓Knowledge of SQL, Python, and related software/tools
- ✓Experience with player performance metrics, game outcome predictions, and real-time sports data feeds
Benefits
- ★Competitive salary and equity
- ★Medical, Dental, PTO, and 401k
