Data Science Manager - Sports Pricing

Added
11 days ago
Type
Full time
Salary
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r sql python statistics

๐Ÿ“‹ Description

  • Own pricing and risk strategy for our fantasy markets, balancing competitiveness and profitability.
  • Lead and grow a high-performing pricing analytics and data science team.
  • Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2, etc).
  • Partner cross-functionally with Product, Engineering, and BizOps to launch and optimize pricing initiatives.
  • Guide experimentation around payout structures, hold targets, and win rate optimization to drive engagement and margin.
  • Maintain and evolve frameworks for pricing accuracy, risk exposure monitoring, and market health.
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