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SleeperSleeperLas Vegas, NV

Data Scientist - Risk and Trading (Daily Fantasy Sports)

Develops predictive models and analyzes data to manage risk and liability in daily fantasy sports trading operations. Requires DFS/sports betting expertise, SQL/Python proficiency, and comfort with large datasets and off-hours work.

75k – 150k/yr
RemoteData Science

About the role

Responsibilities

  • Support risk and liability management for DFS operations through data analysis and modeling to identify trends, patterns, and insights.
  • Develop predictive models and algorithms to understand real-time liability and risk exposure in specific markets and events.
  • Conduct data wrangling, processing, cleaning, and design processes/tools for monitoring performance and accuracy.
  • Monitor pricing for real-time odds, player statistics, breaking news; make real-time market adjustments/suspensions; ensure timely/accurate data from external partners.
  • Build user risk profiles based on behavior patterns and trends; collaborate with product/engineering for DFS personalization.
  • Automate risk and trading processes to scale for growth; contribute to research and innovation.

Qualifications

  • Background in computer science, data science, machine learning, mathematics/statistics, or similar.
  • Comfortable analyzing large datasets.
  • In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, closing line value; experience with high-volume DFS/sports betting as trader, +EV bettor, or oddsmaker.
  • Proactive; able to build processes from scratch and challenge industry norms.
  • Comfortable working off-hours (nights/weekends) aligned with sports calendar.
  • Knowledge of SQL, Python; familiarity with databases, data warehouses, data visualizations, report building.
  • Experience with player performance metrics, game outcome predictions, in-game event modeling, real-time sports data feeds and APIs.

Compensation

  • Base salary range: $75,000 - $150,000 USD, plus benefits including Medical, Dental, PTO, and 401k.

Skills

SQLPythonMachine LearningPredictive ModelingData AnalysisData WranglingSports Data ApisData VisualizationData WarehousesReal-Time Data Processing

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