Senior Data Scientist, Acquisition Marketing

PrizePicks•Atlanta, GA

20h•$120,000 - $170,000•Remote

About The Position

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.

Requirements

4+ years of experience in data science or quantitative analytics, with meaningful time spent supporting paid media or acquisition marketing
Proven ownership of MMM end-to-end
Hands-on experience designing and running incrementality tests, including experimental design, execution, and results interpretation
Experience working in app-based or DTC acquisition environments strongly preferred; sports real money gaming industry background a plus
Bachelor's degree in Business, Analytics, Statistics, Econometrics, Information Systems, Computer Science, or a related field.
Advanced degree preferred
Exceptional communicator: able to explain modeling decisions and statistical tradeoffs to non-technical stakeholders
Strong business judgment: you connect analytical outputs to commercial outcomes
Collaborative: can act as a partner to Marketing, Finance, and Product teams, with experience working across functions to drive aligned decisions
Comfortable with ambiguity, and able to scope and prioritize work independently
Python: proficiency in modeling, statistical analysis, and automation (pandas, numpy, statsmodels, PyMC or similar)
SQL: advanced, including complex transformations and pipeline logic
dbt: experience building and maintaining data models in a dbt environment
Open-source MMM frameworks (Robyn, Meridian): hands-on experience strongly preferred

Responsibilities

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

Benefits

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