Senior Data Science Manager – Marketing Science

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PrizePicks

WebsiteLinkedInAll Job Openings

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

• Lead a team of data scientists, covering topics across retention and acquisition marketing • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals

🎯 Requirements

• 7+ years of experience in data science & analytics • 5+ years of experience in a marketing, customer, or revenue data-related role • 3+ years of experience managing or mentoring data scientists, analysts, or engineers • Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred • Proven experience in building and implementing production-grade machine learning models in an operations support capacity • Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes • Exceptional communicator, with experience presenting to senior leadership • Ability to influence cross-functional partners (Marketing, Finance, Product) • Comfortable balancing hands-on work with team leadership • Strong statistical proficiency • Python for statistical computing, model development, and data visualization • Advanced SQL

🏖️ 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