Senior Data Scientist, Acquisition Marketing

Atlanta, GA (Remote)

$120K/yr – $170K/yrSenior Level4+ years expFull time

Posted 3 months ago

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Job Summary

Drive end-to-end MMM for paid media to guide budget and channel investment decisions.

  • Must-have: 4+ years in data science with MMM/paid media experience + Python/SQL/dbt
  • Standout: hands-on experience with open-source MMM frameworks (Robyn, Meridian) and end-to-end ownership

Job Description

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

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

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
PrizePicks logo

PrizePicks

PrizePicks is the fastest-growing sports company in North America according to the 2023 Inc. 5000 rankings, two years running, and the largest independent skill-based fantasy sports operator in the country. The company was recently recognized as the Fantasy Sports Business of the Year Award by the Fantasy Sports & Gaming Association and as the Fantasy/DFS Operator of the Year by EGR North America. PrizePicks is a fun, fast, and simple version of daily fantasy sports, covering a wide variety of sports leagues from the NFL and NBA to esports titles League of Legends, Counter-Strike & Valorant.The company is headquartered in Atlanta. PrizePicks is available in the App Store and Google Play or at prizepicks.com.

Founded in 2015
Atlanta, Georgia, USA
656 employees (89 in marketing)

Traffic Signals

Monthly Visitors
4.4M
Traffic Source Mix
Search
16.2%
Direct
76.2%
Referral
6.4%
Social
0.4%
Paid
0.8%

Headcount Trend

Current headcount: ~656

Marketing Team

Marketing Team Size
68 (10% of company)
Median Career Experience
9 years
Median Tenure
2.8 years
Marketing Roles Posted (Last 30 Days)
3

Funding

Total Funding
$850K
Last Raise
$850K
Series A, 4 years ago

Funding History

  • Dec 2021
    Series A
  • Jul 2020
    Seed • $850K
  • Mar 2018
    Non Equity Assistance

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