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Sr. Data Scientist

Peloton · New York, New York · On-site

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About Peloton

Backed by Kleiner Perkins.

About the role

We are looking for a Senior Data Scientist specializing in Marketing Mix Modeling (MMM) to help build and scale our in-house global marketing measurement capability. This role will own the development, validation, and evolution of statistical models that measure the incremental impact of marketing investment across channels, funnel stages, products, markets, and business outcomes. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 5–6+ years of professional experience in Data Science, Marketing Science, Marketing Analytics, Econometrics, or a related quantitative field
  • Demonstrated hands-on experience developing and evolving Marketing Mix Models, direct MMM modeling experience is required
  • Strong understanding of MMM methodology, including adstock/carryover transformations, response and saturation curves, diminishing returns, baseline/control variables, model specification, and model validation
  • Strong statistical programming skills, particularly Python and/or R, with the ability to understand, debug, modify, and extend modeling code
  • Experience working across different MMM approaches and adapting methodologies based on the analytical and business problem
  • Experience developing response/saturation curves and marketing budget optimization or scenario-planning methodologies using MMM outputs
More about this role

We are looking for a Senior Data Scientist specializing in Marketing Mix Modeling (MMM) to help build and scale our in-house global marketing measurement capability. This role will own the development, validation, and evolution of statistical models that measure the incremental impact of marketing investment across channels, funnel stages, products, markets, and business outcomes.

The ideal candidate combines deep hands-on MMM experience, strong statistical programming skills, and strong business storytelling capabilities. This person should be equally comfortable working directly with model code and translating complex analytical outputs into actionable recommendations for Marketing, Media, Finance, and executive leadership.

The Senior Data Scientist will have a strong understanding of MMM methodology and be comfortable working across multiple modeling approaches, including custom-built Bayesian models and established MMM frameworks. They should be able to understand underlying code, evaluate alternative methodologies, diagnose model behavior, and adapt or extend the modeling approach as business and measurement needs evolve.

Beyond core MMM development, this person will help...

Read the full posting on Peloton's site ↗

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