Data Science Manager - Sports Pricing

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

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Verification

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Salary

$160K-$190K From the posting source checked Jun 20, 2026

401(k) match

Reported not verified - source not recorded; source URL not recorded; timestamp not recorded

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

56% above the BLS role benchmark 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.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

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Assessment

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Deadline

Not stated

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

Read the full description at prizepicks.com. FewerJobs shows a preview and links to the original posting.