Responsibilities

• Define the long-term marketing measurement strategy, establishing a 2–3 year technical roadmap aligned with company goals.
• Develop and refine media mix models (MMM) and multi-touch attribution (MTA) systems to quantify the incremental impact of marketing efforts.
• Design unified frameworks that optimize marketing strategies for both acquiring new advertisers and engaging new users, identifying synergies that enhance overall growth.
• Lead the development of advanced causal inference methodologies, including complex "always-on" incrementality testing and geo-holdout experiments.
• Measure the long-term "halo effect" of brand marketing on organic growth and community engagement.
• Collaborate closely with Marketing, Growth, and Finance teams to translate data insights into actionable budget and strategy adjustments.
• Mentor junior data scientists, ensuring high standards of code quality, statistical rigor, and methodological soundness across the marketing analytics team.
• Stay abreast of industry best practices and emerging techniques in data science, econometrics, and marketing analytics to continually improve measurement frameworks.

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, SQL, and experience building production-grade data pipelines.
• Experience applying machine learning techniques for predictive modeling such as churn prediction and lead scoring.
• Proven ability to influence C-suite stakeholders and translate complex statistical insights into strategic business recommendations.
• Experience working in fast-paced environments, navigating ambiguity, and building frameworks from the ground up.

Benefits

• Comprehensive healthcare benefits including medical, dental, and vision insurance.
• Income replacement programs to support work-life balance and financial stability.
• 401(k) plan with employer matching contributions.
• Global benefit programs designed to support your lifestyle, including workspace flexibility, professional development, and caregiving support.
• Family planning assistance and parental leave policies.
• Mental health and coaching resources to promote well-being.
• Pay transparency and competitive salary packages, with base salary ranging from $217,000 to $303,900 USD, plus potential equity in the form of restricted stock units and performance-based incentives.