Measurement Science Manager II

About the Job

• Design and execute advanced experiments that prove advertising value and optimize campaigns, delivering actionable insights that drive business decisions
• Analyze experiment data to produce nuanced recommendations for improving ad performance and measurement outcomes
• Tailor measurement approaches to meet stakeholder needs, by developing innovative metrics and data visualizations that reveal deeper business insights
• Proactively partner with stakeholders to shape media measurement strategies and address complex challenges, navigating through ambiguous measurement questions
• Present experimental findings and other data-driven insights with an executive presence to senior clients, educating them on methodologies and ensuring alignment on actionable insights
• Lead discussions, trainings, and Q&A sessions as a thought leader on ad measurement and experimentation to inspire confidence in measurement outcomes with clients and internal teams
• Identify strategic opportunities, including client upsell potential or internal operational improvement needs, informed by data-driven insights
• Develop customized analytical solutions, including code, dashboards, and self-service tools with data-driven enhancements either through client works and/or project initiatives
• Applying AI across your work to raise quality and move faster. We use Claude and Cursor for writing, debugging, and refactoring code, and our internal AI platform to accelerate analysis, automate repetitive workflows, and scale measurement solutions. We expect you to actively look for opportunities to apply these tools to gain efficiency.

Minimum Qualifications

• Bachelor’s Degree in a quantitative field such as Engineering, Mathematics/Statistics, Finance, Economics, Business
• 6+ years of experience in data and measurement or consulting fields with demonstrated expertise in statistical data analytics
• 3+ years of relevant experience within advertising efficacy, media/marketing measurement, and experimentation
• Advanced expertise in experimentation techniques, including A/B testing, holdout designs, and incrementality measurement
• Strong data storytelling and advanced visualization skills using tools like Tableau or Mode
• Experience developing self-service tools and dashboards for stakeholders
• Strong SQL skills and proficiency in statistical programming (Python/R) to create and validate custom analytical solutions
• Track record of turning analytics insights into strategic recommendations that drive business outcomes
• Track record of operating independently, demonstrating curiosity, active listening skills, creativity, and delivering results in a highly organized manner

Preferred Qualifications

• 4+ years of conducting and presenting lift measurement studies to clients
• Experience directing sales teams in an analytic/quantitative capacity
• Advanced knowledge of statistical techniques including marketing mix modeling, Bayesian analysis, and causal inference
• Ability to automate processes using AI-driven tools and workflows
• Technical expertise in advanced experimental methodologies including A/A testing, SRM detection, and statistical techniques that ensure measurement validity and reliability
• Comprehensive knowledge of ad auction mechanics, targeting algorithms, and attribution models