Senior Data Scientist — Marketing Mix & Growth Modeling

Peloton Interactive, Inc.; New York (NY); Presencial; USD 174.000 - 213.000; Jornada completa

Descripción de la vacante

Peloton Interactive, Inc. in New York City is seeking a Senior Data Scientist focused on Marketing Mix Modeling (MMM) to build and scale an in-house global measurement capability.

You will own MMM development, validation, and evolution across channels, products, and markets, translating results into actionable business recommendations for Marketing, Finance, and leadership. Ideal candidates have 5–6+ years in Data Science or Marketing Analytics, hands-on MMM experience, and strong Python/R

Formación

• 5–6+ years of professional experience in Data Science or Marketing Analytics.
• Hands-on experience developing and evolving Marketing Mix Models (MMM) required.
• Strong MMM methodology knowledge including adstock, response and saturation curves.
• Proficient in Python and/or R; able to understand and modify modeling code.
• Experience with productionized analytics and cross-functional storytelling.

Responsabilidades

• Develop, maintain, and scale global Marketing Mix Models for incremental impact.
• Work with underlying modeling code to diagnose and extend the framework.
• Evaluate MMM specifications and transformations based on performance and context.
• Build adstock/carryover transformations and budget optimization/scenario planning.
• Translate MMM outputs into measures like CAC, ROI, and marginal effectiveness.
• Develop scalable decision-support tools and governance for MMM.
• Communicate model results clearly to Marketing, Finance, and leadership.

Conocimientos

MMM expertise

Python

R

Statistical modeling

Data storytelling

Cross-functional collaboration

SQL

MMM frameworks

Adstock/carryover

Visualization/BI (Tableau)

Herramientas

Python

R

Tableau

SQL

Descripción del empleo

Peloton Interactive, Inc. in New York City is seeking a Senior Data Scientist focused on Marketing Mix Modeling (MMM) to build and scale an in-house global measurement capability.

You will own MMM development, validation, and evolution across channels, products, and markets, translating results into actionable business recommendations for Marketing, Finance, and leadership. Ideal candidates have 5–6+ years in Data Science or Marketing Analytics, hands-on MMM experience, and strong Python/R