Responsibilities

• Define the 2–3 year technical roadmap for marketing measurement, establishing key metrics and frameworks that guide budget allocation.
• Build and refine Media Mix Models (MMM) and Multi‑Touch Attribution (MTA) systems to quantify marketing effectiveness and optimize ROI.
• Design unified frameworks to enhance both B2B and B2C growth initiatives, leveraging synergies between brand awareness and engagement.
• Lead the development of complex experimental designs, including incrementality testing and geo-holdout experiments, to measure long-term brand impact.
• Collaborate with Marketing, Growth, and Finance teams to translate data insights into strategic budget decisions and marketing tactics.
• Mentor junior data scientists, setting technical standards and ensuring statistical rigor across projects.
• Stay at the forefront of causal inference methodologies and advanced statistical techniques to continually improve measurement accuracy.

Requirements

• Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
• For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics.
• For Ph.D. holders: 6+ years of industry experience.
• Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.
• Proficiency in Python or R and SQL, with experience building production-grade data pipelines and applying machine learning techniques for predictive modeling.
• Proven ability to influence C-suite stakeholders and translate complex statistical concepts into strategic business insights.
• Experience working in fast-paced, ambiguous environments, and building frameworks from the ground up.

Preferred

Benefits

• Comprehensive healthcare coverage, including medical, dental, and vision insurance.
• Income replacement programs and generous paid time off for vacation and parental leave.
• 401(k) plan with employer funding contributions.
• Global benefit programs supporting work-life balance, professional development, and caregiving needs.
• Family planning support and mental health & coaching benefits.
• Pay transparency and competitive salary packages, with the base salary range of $217,000 - $303,900 USD.
• Eligibility for equity in the form of restricted stock units, and potential commissions depending on the role.
• Remote-friendly work environment, allowing flexibility in location and work arrangements.