Senior Data Scientist: Incrementality & MMM (Remote)

Wpromote; United States; Remote; USD 141,000 - 165,000; Full time

Benefits offered by this job

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 Ins

Sponsored life insurance

Short Term Disability insurance and追加

Annual Class Pass credits

Job summary

Wpromote is seeking a Senior Data Scientist to join the Data Strategy & Analytics team to design and execute rigorous measurement solutions, including incrementality tests and media mix models. You will partner with cross-functional teams to translate business questions into actionable measurement plans and communicate results with stakeholders.

The role involves working with large marketing datasets, evaluating channels like CTV, video, and paid social, and guiding junior data scientists in

Qualifications

• Master’s degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline preferred or B.S. + 5 years of relevant experience
• Strong programming skills in Python, R, and 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

Responsibilities

• Partner with Data Strategy, media, and client teams to translate business questions into clear, testable measurement plans
• Design and analyze incrementality tests, including geo-based experiments, holdouts, matched‑market tests, and other causal inference approaches
• Build, validate, and interpret media mix models to estimate channel contribution, efficiency, saturation, and diminishing returns
• Develop measurement approaches for upper‑funnel and brand media, including its direct impact and influence on lower‑funnel outcomes
• Conduct power analyses, test feasibility assessments, sensitivity analyses, and model diagnostics to ensure findings are statistically credible
• Work with large, multi‑source marketing datasets; identify data quality issues, measurement gaps, and implications for analysis
• Turn analytical findings into practical recommendations for media planning, optimization, and future testing
• Apply complementary advanced analytics methods - including predictive modeling, propensity modeling, segmentation, and forecasting
• Guide and mentor junior data scientists and contribute to shared measurement standards, code, and best practices

Skills

Python

R

SQL

Incrementality testing

Media Mix Modeling

Causal inference

Time-series analysis

Statistical modeling

Experiment design

Education

Master’s degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline preferred

B.S. + 5 years of relevant experience

Tools

PyMC

Job description

Wpromote is seeking a Senior Data Scientist to join the Data Strategy & Analytics team to design and execute rigorous measurement solutions, including incrementality tests and media mix models. You will partner with cross-functional teams to translate business questions into actionable measurement plans and communicate results with stakeholders.

The role involves working with large marketing datasets, evaluating channels like CTV, video, and paid social, and guiding junior data scientists in