Responsibilities

• 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.

Requirements

• 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 .
• Proven success managing multiple MMM engagements simultaneously, ideally across 10+ client models.
• Strong foundation in statistical modeling, attribution, forecasting, and marketing measurement frameworks.
• Experience mentoring analysts, managers, or junior modelers in a project-based environment.
• Proficiency with Databricks and modern analytics environments.
• Ability to connect business questions to rigorous measurement solutions.

Preferred

• Retail
• Restaurants / QSR
• Financial Services
• Pharmaceutical analytics experience is a plus.

Benefits

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.