StaffDataScientist,Marketing

## Accountabilities Define and lead the long-term marketing measurement strategy by building a 2–3 year roadmap, establishing North Star metrics, and shaping frameworks that guide large-scale marketing investment decisions. Develop, refine, and operationalize advanced Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to measure incremental impact and optimize marketing ROI across channels. Design unified measurement frameworks that connect B2B (advertiser acquisition and retention) and B2C (user acquisition and engagement) growth strategies, identifying cross-flywheel synergies. Lead causal inference initiatives, including geo-experiments, holdout tests, and always-on incrementality measurement to assess both short-term and long-term marketing effects. Partner with senior stakeholders across Marketing, Growth, and Finance to translate complex analytical outputs into clear business actions and budget decisions. Provide technical leadership by mentoring data scientists, setting best practices in experimentation, statistical rigor, and production-grade analytical development. Requirements: Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, Engineering, Computer Science, or a related quantitative discipline. 6+ years (Ph.D.) or 10+ years (Master’s) of industry experience in marketing science, econometrics, growth analytics, or applied data science roles. Strong expertise in marketing measurement methodologies, including MMM, incrementality testing, causal inference, and customer lifetime value modeling. Advanced programming skills in Python or R and SQL, with experience building scalable data pipelines and production-level analytical systems. Deep understanding of experimental design, statistical modeling, and machine learning techniques applied to business problems such as churn prediction or attribution modeling. Proven ability to influence executive stakeholders and communicate complex quantitative insights in a clear, busin