Marketing Data Scientist

Job Description

Do you love building Marketing Mix Models more than presenting them?

If you're the type of person who gets excited about model architecture, parameter tuning, validation frameworks, and uncovering the story behind the data, keep reading.

We're looking for a Marketing Data Scientist to be the technical powerhouse behind our Attribution team. This is not a traditional consulting role focused on endless client meetings. Instead, you'll be the expert responsible for building, refining, and advancing sophisticated measurement solutions that help some of the world's most recognized brands make smarter marketing decisions.

You'll work alongside talented marketing scientists, engineers, and media experts to shape the future of measurement through Marketing Mix Modeling (MMM), attribution, forecasting, causal measurement, and advanced analytics.

What You'll Do

• Lead end-to-end development of advanced Marketing Mix Models from data strategy through model delivery and ongoing optimization.
• Build, validate, and improve MMM frameworks using both Bayesian and Frequentist methodologies.
• Manage multiple modeling engagements simultaneously across a diverse portfolio of clients and industries.
• Partner with media, data engineering, and analytics teams to transform business objectives into actionable measurement strategies.
• Deliver insights that drive optimization of media and marketing investments across online and offline channels.
• Serve as the technical lead for project teams, providing guidance, quality control, and mentorship to junior modelers.
• Contribute to the evolution of our measurement methodologies and help push beyond traditional MMM approaches.

What Makes You a Great Fit

Required Experience

• Significant hands-on experience building MMM models from scratch and leading full model development lifecycles.
• Deep expertise in both Bayesian and Frequentist marketing mix modeling techniques.
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