PrizePicks
Sports
DataScienceIntern-Fall2026
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Science Intern - Fall 2026 at PrizePicks. Skills: Sports modeling, Probabilistic modeling, Forecasting. Learn sports projection modeling. Learn line calibration”
Industry & Context.
Complex sports modeling; Pricing problems
Authorized to work in U.S.
What They're Looking For.
Must Have
technical or quantitative background, pursuing a degree in computer science, statistics, math, physics, economics, or similar, coding skills in Python and SQL, Interest in daily fantasy sports, prediction markets, or sports analytics
Nice to Have
Experience with Rust, Experience with Java, Experience with C++, Background in calibration, Background in Bayesian modeling, Building statistical models from scratch, Success in open-source projects, Success in competitive projects, Big Data Bowl experience, Kaggle experience, Academic research in sports analytics, Academic research in forecasting
What You'll Do.
Learn sports projection modeling
Learn line calibration
Learn hold optimization
Contribute to model development
Contribute to model iteration
Contribute to data collection
Research new approaches to fantasy sports challenges
How You'll Work.
Team & Collaboration
Data science team
Full Job Description
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? Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development while researching innovative approaches to projection and line-setting in daily fantasy sports. Ideal candidates have a strong technical background in computer science, statistics, or related fields, with proficiency in Python and SQL, and a passion for sports analytics and prediction markets. What you'll do: Learn from the PrizePicks data science team how we approach sports projection modeling, line calibration, and hold optimization across dozens of sports and stat types. Contribute to model development, iteration, and data collection for player performance projections and pricing. Research new approaches to fantasy sports challenges - calibration, probabilistic forecasting, line movement, and stat-level modeling. What you have: Demonstrable history of projects that are sports-focused or involve probabilistic modeling, forecasting, or prediction markets. Strong technical or quantitative background pursuing a degree in computer science, statistics, math, physics, economics, or similar. Strong coding skills in Python and SQL. Interest in daily fantasy sports, prediction markets, or sports analytics. What makes you stand out: Experience with lower-level programming languages - Rust, Java, C++. Background in calibration, Bayesian modeling, or building statistical models from scratch. Success in
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