Senior Data Scientist, Acquisition Marketing
New
Anywhere in the U.S.Full-TimeSenior
Salary120000 - 170000 USD per year
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonSQLNumpyPandasdbt
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
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