Director, Marketing Science

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 "why behind the what"
Deliver customer-facing narratives with clear business implications
Customer Success Partnership
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
Data & Analytics Execution
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
Tooling & Enablement
Partner with Product to integrate insights into customer-facing tools (e.g., Media Plan Optimizer)
Evolve dashboards and test summaries for usability and clarity
Team Leadership
Recruit, mentor, and manage a team of analysts and data scientists
Champion a culture of intellectual rigor, commercial thinking, and outcome orientation
Requirements

Ideal Experience

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
Preferred:
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.)
Benefits

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