Data Science Manager - Sports Pricing

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

56% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Science Manager - Sports Pricing Atlanta, GA preferred, Remote At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? What you'll do: - Own pricing and risk strategy for our fantasy markets, balancing competitiveness and profitability. - Lead and grow a high-performing team of pricing analysts and data scientists. - 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. - Ensure data integrity and modeling quality across all pricing efforts. What you have: - 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to pricing, trading, or risk management. - Strong technical foundation in data science, statistics, or software engineering. - Demonstrated management experience - leading, mentoring, and scaling high-output teams. - Proficiency in SQL and Python or R; experience with simulation-based modeling and statistical

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