Senior Data Scientist - Marketing Analytics & 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保险

Job summary

Wpromote is seeking a Senior Data Scientist to join the Data Strategy & Analytics team in the US. You will design rigorous measurement solutions, including incrementality tests and media mix models, and translate results into actionable recommendations.

You will work with large marketing datasets, select methodologies, and communicate findings to both technical and non‑technical audiences while mentoring junior data scientists.

Qualifications

• Master’s degree or equivalent experience in a quantitative field
• Experience designing incrementality tests
• Experience building and interpreting media mix models
• Strong understanding of statistical modeling and causal inference
• Ability to work independently and mentor teammates

Responsibilities

• Design and execute measurement plans including incrementality tests
• Build and validate MMMs to estimate channel contribution
• Analyze upper‑funnel and brand impact with data-informed approaches
• Mentor junior data scientists and contribute to standards

Skills

Python

R

SQL

Incrementality testing

Media mix models

Statistics

Time-series methods

Independent work

Education

Master’s degree in Statistics, Economics, Data Science, Computer Science, Engineering (or related)

B.S. + 5 years relevant experience

Tools

PyMC

Job description

Wpromote is seeking a Senior Data Scientist to join the Data Strategy & Analytics team in the US. You will design rigorous measurement solutions, including incrementality tests and media mix models, and translate results into actionable recommendations.

You will work with large marketing datasets, select methodologies, and communicate findings to both technical and non‑technical audiences while mentoring junior data scientists.