Director, Marketing Science

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.

• 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

• Conduct deep-dive analysis on test results and model outputs
• Isolate media drivers, identify patterns (e.g., PMax vs ASC differences), and provide “why behind the what”
• Deliver customer-facing narratives with clear business implications

• Support CS in interpreting test/model results and crafting recommendations
• Join key client calls, QBRs, and renewal discussions as the expert voice of measurement
• Help CS anticipate challenges and align on optimization actions

• Use Python, SQL, and statistical methods to process and analyze large-scale marketing datasets
• Build dashboards and reports to track campaign and channel-level performance
• Perform A/B testing, incrementality validation, and lift modeling
• Develop processes to help teams monitor, document, and report on ROI from campaign changes

• Partner with Product to integrate insights into customer-facing tools (e.g., Media Plan Optimizer)
• Evolve dashboards and test summaries for usability and clarity

• Recruit, mentor, and manage a team of analysts and data scientists
• Champion a culture of intellectual rigor, commercial thinking, and outcome orientation

• 8+ years in marketing measurement, data analytics, or media science
• Deep knowledge of incrementality testing, MMM, and media attribution
• Strong background in statistical techniques (e.g., causal inference, regression modeling, A/B testing)
• Proficiency in data visualization tools (Tableau, Power BI, Looker, or equivalent)
• Experience with digital media platforms (e.g., Google Ads, Meta, TikTok) and performance metrics
• Ability to tell a compelling story from data — especially to non-technical audiences
• Familiarity with cross-channel budget planning, optimization, and testing constraints
• Strong written/verbal communication and executive presence
• Bachelor’s or Master’s in a quantitative field (e.g., Statistics, Computer Science, Marketing Analytics)
• Confident decision-maker with the ability to take calculated risks and navigate ambiguity effectively
• Driven by curiosity and initiative to improve processes and explore new approaches
• Demonstrated ability to operate autonomously while contributing effectively within a collaborative team setting.
• Comfortable with rapid change 
• Leads with integrity and embraces diversity in all forms

• Experience with cloud platforms (e.g., AWS, GCP)
• Familiarity with SEO/SEM principles and digital marketing levers
• Exposure to big data tools (Spark, Hive, etc.)

• 100% Remote
• Competitive Total Rewards and flexible paid time off
• Opportunities to give back through Measured for Good
• Engaged, diverse, and curious culture
• Award-winning technology powered by an agile, collaborative team