Senior Data Scientist - Marketing MMM & Budget Optimization

Peloton; New York (NY); On-site; USD 174,000 - 213,000; Full time

Job summary

Peloton is seeking a Senior Data Scientist to build and scale in-house, global marketing measurement powered by Marketing Mix Modeling (MMM). This onsite role in New York, NY offers the opportunity to develop, validate, and evolve statistical models that translate incremental marketing impact into budget optimization, scenario planning, and executive recommendations.

You will work across channels, products, and markets, collaborating to diagnose and extend MMM frameworks, define baseline

Qualifications

• 5–6+ years of professional experience in Data Science, Marketing Science, Marketing Analytics, Econometrics, or related quantitative field.
• Direct MMM modeling experience is required.
• Strong knowledge of MMM methodology including adstock, carryover, and saturation curves.

Responsibilities

• Develop, maintain, and enhance global MMM that measures incremental marketing impact across channels, products, markets, and outcomes.
• Collaborate with modeling code to diagnose, modify, and extend the MMM framework.
• Assess model specifications and validation using statistical performance and business context.
• Design adstock and carryover transformations and account for funnel differences.
• Define baseline and control variables such as seasonality, promotions, and macro factors.
• Diagnose model fit, stability, and incrementality; address multicollinearity and confounding.
• Build robust validation using holdouts, holdout experiments, and other sources of incrementality evidence.
• Translate MMM outputs into business measures like CAC, ROI, and marginal effectiveness.
• Develop budget optimization and scenario-planning capabilities for global marketing.

Skills

Marketing Mix Models

Python

R

Statistical modeling

Executive presentations

Tools

Java

Tableau

Job description

Peloton is seeking a Senior Data Scientist to build and scale in-house, global marketing measurement powered by Marketing Mix Modeling (MMM). This onsite role in New York, NY offers the opportunity to develop, validate, and evolve statistical models that translate incremental marketing impact into budget optimization, scenario planning, and executive recommendations.

You will work across channels, products, and markets, collaborating to diagnose and extend MMM frameworks, define baseline