Note: The job is a remote job and is open to candidates in USA. Wpromote is seeking a Senior Data Scientist to join its Data Strategy & Analytics team. The role focuses on designing and executing rigorous marketing measurement solutions, including incrementality tests, media mix models, and causal analyses, and translating findings into actionable recommendations. The position also involves collaborating with cross-functional teams and mentoring junior data scientists.
Responsibilities
- Partnering with Data Strategy, media, and client teams to translate business questions into clear, testable measurement plans
- Designing and analyzing incrementality tests, including geo-based experiments, holdouts, matched-market tests, and other causal inference approaches
- Building, validating, and interpreting media mix models to estimate channel contribution, efficiency, saturation, and diminishing returns
- Developing measurement approaches for upper-funnel and brand media, including its direct impact and influence on lower-funnel outcomes
- Conducting power analyses, test feasibility assessments, sensitivity analyses, and model diagnostics to ensure findings are statistically credible
- Working with large, multi-source marketing datasets; identifying data quality issues, measurement gaps, and implications for analysis
- Turning analytical findings into practical recommendations for media planning, optimization, and future testing
- Applying complementary advanced analytics methods - including predictive modeling, propensity modeling, segmentation, and forecasting - to solve broader client and media strategy questions
- Guiding and mentoring junior data scientists and contributing to shared measurement standards, code, and best practices
Skills
- Strong programming skills in Python, R, & SQL
- Hands-on experience designing and analyzing incrementality tests, such as geo holdouts, matched-market tests, synthetic controls or holdouts, or randomized experiments
- Hands-on experience building, validating, and interpreting media mix models
- A deep understanding of statistical modeling, causal inference, experimental design, and time-series methods
- Ability to evaluate methodological tradeoffs, challenge weak assumptions, and select approaches appropriate to the available data and business decision
- Ability to work independently on ambiguous problems while collaborating closely with cross-functional teams
- B.S. + 5 years of relevant experience
- *This position may be performed remotely in most states within the US, with some exclusions
- ***This position is not eligible for immigration sponsorship
- Master's degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline preferred
- Experience with Bayesian modeling frameworks such as PyMC or similar tools
- Experience calibrating or validating MMM results with incrementality tests, or integrating multiple measurement methods into a unified recommendation
- Experience with brand measurement, awareness studies, retail or offline sales data, or multi-outcome/funnel modeling
Benefits
- Remote-first culture
- Unlimited PTO
- Extended Holiday break (Winter)
- Flexible schedules
- Work from anywhere options*
- 100% paid parental leave
- 401(k) matching
- Medical, Dental, Vision, Life, Pet Insurance
- Sponsored life insurance
- Short Term Disability insurance and additional voluntary insurance
- Annual Class Pass credits and more!
- This position may be performed remotely in most states within the US, with some exclusions
- Office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person
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