Data Science Manager – Market Origination

🕒 4 days ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of PrizePicks

PrizePicks

201 - 500 employees

🎮 Gaming

⚽ Sports

Gaming • Sports

PrizePicks is an innovative platform that offers a dynamic and interactive way to engage in daily fantasy sports and esports. Users can make predictions on player performances across various sports, including NFL, NBA, MLB, CFB, and more, with the opportunity to win up to 1000x their entry fee. PrizePicks operates legally in 43 U. S. states, Washington D. C. , and Canada, providing a wide range of betting options, including Pick 'Em and Pick 'Em Arena, where users compete against each other for cash rewards. The company emphasizes user engagement with features such as recurring promos and the Streak game, which is free to play and allows participants to earn by building daily win streaks. PrizePicks ensures secure transactions and fast payouts, enhancing user experience and satisfaction in the sphere of real money sports betting.

📋 Description

• Own line setting strategy and projection accuracy for our fantasy markets, balancing coverage breadth and competitive line quality. • Lead and grow a high-performing team of data scientists and analysts focused on market creation and prop origination. • Oversee development and deployment of projection models and coverage expansion across major sports and esports (NBA, NFL, MLB, CS2, etc.). • Partner cross-functionally with Product, Engineering, Pricing, and BizOps to launch new markets and expand coverage. • Guide experimentation around line accuracy, prop selection, and coverage strategy to drive engagement and grow the market catalog. • Maintain and evolve frameworks for projection accuracy, coverage quality, and market health monitoring. • Ensure data integrity and modeling quality across all origination efforts.

🎯 Requirements

• 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to line setting, trading, or player performance modeling. • 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 predictive modeling, forecasting, and statistical techniques. • Deep understanding of how player props and sports/esports markets are structured, originated, 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

• 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

Apply Now

Similar Jobs

🕒 4 days ago

Spotify

5001 - 10000

📱 Media

👥 B2C

🛍️ eCommerce

Data Scientist responsible for analytics and model evaluation in Discovery Mode at Spotify. Collaborating with ML engineers and product managers to enhance promotional tools for music creators.

🕒 4 days ago

WorkWave

1001 - 5000

☁️ SaaS

🚗 Transport

🤝 B2B

Applied Data Scientist or Machine Learning Engineer developing ML-powered products for decision intelligence at WorkWave. Driving model development and integration with customer-facing SaaS products for enhanced business operations.

🕒 4 days ago

Arine

11 - 50

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

Senior Data Scientist analyzing real-world health datasets to improve patient outcomes and reduce healthcare costs. Collaborating with cross-functional teams to develop and implement data-driven solutions.

🕒 4 days ago

Jerry

201 - 500

💳 Fintech

Associate Data Scientist responsible for driving analytics for product, growth, and strategic partnerships at Jerry.ai. Collaborating across teams to surface insights and drive key business decisions.

🕒 4 days ago

Jerry

201 - 500

💳 Fintech

Data Scientist driving analytical insights and actionable recommendations at Jerry.ai. Collaborating with key business units to enhance growth and product development.