Senior Data Scientist, Acquisition Marketing

PrizePicks

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $120,000 - $170,000 per year

Job Level

About the role

  • 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

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
  • Technical Skills
  • 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
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencequantitative analyticsmedia modelingincrementality testingexperimental designstatistical analysisautomationPythonSQLdbt
Soft Skills
exceptional communicatorstrong business judgmentcollaborativecomfortable with ambiguityindependent prioritization