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Director, Marketing Science

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Measured
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

About Measured

Measured is the pioneer and leader of incrementality-based media measurement and optimization. Since 2017, leading brands have used our AI-powered, all-in-one platform to manage, test, plan, and optimize over $35 billion in full-funnel media investments. Measured's unique combination of automated experimentation, media mix modeling, and industry-leading expertise helps marketers prove the incremental impact of their advertising and maximize ROI with unmatched ease, accuracy, and efficiency.

The Role

Measured is the pioneer of incrementality-based media measurement. We are seeking an experienced and strategic leader to scale our Geo Experimentation and Marketing Mix Modeling (MMM) functions. This individual will not only guide scientific modeling frameworks, but also act as a hands-on analytics lead, supporting deep post-test analysis and helping translate results into clear, actionable, and client-ready insights.

In this hybrid role, you ll leverage advanced analytics (Python, SQL, A/B testing) to uncover trends, optimize outcomes, and diagnose what s driving performance — particularly across emerging platforms like Google Performance Max (PMax) and Meta ASC. You ll work closely with Customer Success, providing diagnostic clarity and tactical recommendations that close the loop between data science and business outcomes.

Key Responsibilities Measurement Strategy & Execution
  • Lead the end-to-end design, execution, and interpretation of geo tests and MMM projects
  • Improve frameworks to account for evolving marketing realities: cross-border, CRM-driven, short-flight, and campaign overlap complexities
  • Own statistical modeling architecture and ensure scientific rigor
Post-Test Analytics & Storytelling
  • Conduct deep-dive analysis on test results and model outputs
  • Isolate media drivers, identify patterns (e.g., PMax vs ASC differences), and provide
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