PrizePicks
Data Science Manager - Sports Pricing
Atlanta, GA preferred, Remote · Full-time
No sponsorship$160k-$190kDetected 1 day ago
PythonSQLData ScienceStatisticsA/B TestingPerformance ManagementMentoring
About the role
- Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom.
- Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
Responsibilities
- 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.
- 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.
Requirements
- You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Nice to 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 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.
Skills
- Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education.
Compensation
- The typical salary range for this position is $160,000 to $190,000 At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges.
- The compensation info you see on our job postings gives you an idea of the starting pay range for the position.
- Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education.
- recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
- Annual performance reviews with opportunities for growth and career development
Benefits
- Company-subsidized medical, dental, & vision plans
- 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
- All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
- Maintain and evolve frameworks for pricing accuracy, risk exposure monitoring, and market health.
- Benefits you'll receive:
- In addition to your great compensation package, full-time employees will be eligible for the following perks:
Company info
- At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc.
- 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.
- Ready to reimagine the DFS industry together?
- While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Equal opportunity
- Equal Opportunity Employer.
Visa & Work Authorization
- You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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This listing is sourced directly from PrizePicks's careers page and normalized into a canonical job model.