Senior Data Scientist, Acquisition Marketing

Company: PrizePicks

Location: Remote (Remote)

Salary: $120,000 - $170,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-04-17

About this role

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?

We are looking for a technically rigorous, intellectually curious Senior Data Scientist to join our Acquisition Marketing Analytics team. In this role, you will own our most strategic measurement capabilities – including media mix modeling and always-on incrementality testing with paid partners – and use them to drive how we invest across acquisition channels.

You are the right fit if you have a strong foundation in causal inference and applied statistics, thrive at the intersection of data science and marketing strategy, and know how to turn complex model outputs into decisions that matter to the business.

# What you'll do:

  • Own end-to-end media modeling (MMM), from data preparation and model development, to validation, calibration, and stakeholder delivery
  • Design, launch, and maintain incrementality testing frameworks, in partnership with paid media partners, including geo-holdout and platform-native lift study designs
  • Translate model outputs into actionable budget allocation and channel investment recommendations
  • Partner with channel leads to develop and maintain a structured learning agenda across paid media
  • Automate recurring measurement processes to improve accuracy, scalability, and speed-to-insight
  • Contribute to raising the analytical bar across the team through code review, documentation, and knowledge sharing

# What you have:

  • 4+ years of experience in data science or quantitative analytics, with meaningful time spent supporting paid media or acquisi...

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