Remote Data Scientist - Risk & Trading Job in United States Sleeper

Who you are

• 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.

Desirables

• DFS experience
• Sports betting knowledge
• Python
• SQL

What the job involves

• 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.