Data Science Manager – Sports Pricing

PrizePicks

Data Science Manager overseeing pricing strategy for fantasy markets at PrizePicks. Leading a team of analysts and driving initiatives for optimal pricing and risk management.

Posted 5/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 optimization techniques.
Deep understanding of how sports and/or esports markets are structured and modeled.
Proven track record of driving complex projects from ideation through launch in a fast-paced environment.
Strong communicator who thrives at the intersection of data, product, and operations.

Benefits

Comp & perks

Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Annual bonus
Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
Generous paid leave programs, including 16-week paid parental leave and disability benefits
Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
Company-wide in-person events and team outings
Lifestyle enhancement program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunities for growth and career development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencestatisticssoftware engineeringSQLPythonRsimulation-based modelingstatistical optimization techniquespricing modelsrisk management

Soft Skills

leadershipmentoringcommunicationteam managementproject managementcross-functional collaborationproblem-solvingstrategic thinkingdata-driven decision makingadaptability