Data Scientist - Sports Pricing
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 450 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:
- Analyze statistical correlations across sports player performance, game outcomes, and new fantasy formats.
- Support pricing and risk analysis for new and existing game types across major sports and esports (e.g., NBA, NFL, CS2).
- Build and maintain Python-based tools and models to inform fair pricing and payout structures.
- Design and execute statistical experiments around hold targets, payout boosts, and win-rate dynamics.
- Partner with cross-functional teams (Product, Engineering, GameOps) to validate assumptions and optimize pricing mechanisms.
- Contribute to frameworks for pricing accuracy, market health monitoring, and edge detection
- Communicate findings with clear visuals, summaries, and recommendations to both technical and non-technical stakeholders.
What you have:
- 2–5 years of experience in data science, sports analytics, or a related quantitative role.
- Strong statistical foundation (e.g., probability theory, regression, distributions, hypothesis testing).
- Proficiency in Python and SQL; experience working with large datasets and model-driven analysis.
- Understanding of how sports betting, fantasy, or trading markets work — ideally with exposure to pricing or risk.
- Curious, detail-oriented mindset with a passion for uncovering insights in noisy, high-dimensional sports data.
- Ability to work independently and collaboratively in a fast-paced, experimentation-driven environment.
- Bonus: Experience with simulations, copulas, or time-series models.
What makes you stand out:
- Experience with simulations, copulas, or time-series models.
Where you’ll live:
- 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
Working at PrizePicks:
The typical salary range for this position is $110,000 to $140,000. 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. 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.
This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: July 15th, 2025
Benefits you’ll receive:
In addition to your great compensation package, full-time employees will be eligible for the following 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
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.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Average salary estimate
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