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Data Scientist - Risk & Trading
Skills
Analytical SkillsData AnalyticsData ScienceFantasy FootballFantasy SportsSports StatisticsStatistics
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Background in computer science, data science, or mathematics/statistics.
- Comfortable with large data sets and analysis.
- Extensive DFS or sports betting experience required.
- Proficiency in SQL, Python, and related data analysis tools.
- Ability to work off-hours during peak sports seasons.
Nice to have
- DFS experience
- Sports betting knowledge
- Python
- SQL
Day to day
- Support Sleeper’s DFS operations through risk and liability management including data analysis and modeling to identify trends, patterns, and insights.
- Develop predictive models and algorithms to understand real-time liability including risk exposure for specific markets and events.
- Conduct data wrangling and cleaning, and design tools for performance and accuracy monitoring.
- Monitor pricing, player statistics, and relevant market news to make real-time adjustments in market strategies.
- Collaborate with product and engineering teams to enhance personalization in the DFS ecosystem.