Data Scientist: Measurement and Decision Sciences

Role Overview: This role partners with Marketing, Product, and Business leaders to measure impact, evaluate strategic opportunities, and drive data\-informed decisions through experimentation, causal inference, econometrics, statistical analysis, and business insight generation. This role serves as a trusted analytical partner, translating complex business questions into rigorous measurement frameworks and actionable recommendations that influence growth, customer experience, and commercial performance. The role combines experimentation, causal inference, econometrics, and business analytics to help leaders understand what drives performance, quantify impact, and make better strategic decisions. Position Details: **About the role:** **Lead experimentation and measurement initiatives** * Design, execute, and analyze A/B tests, holdouts, geo\-experiments, and quasi\-experimental studies. * Conduct power analyses, sample sizing assessments, and experiment health reviews. * Partner with stakeholders to define success metrics, guardrails, and decision criteria. * Communicate experiment results and recommendations to business leaders. * Develop measurement plans that enable rigorous evaluation of business initiatives and strategic investments. **Drive decision support and strategic analytics** * Perform deep\-dive analyses to identify drivers of acquisition, conversion, retention, customer value, and business performance. * Evaluate business opportunities using statistical and econometric methods to create customer segmentations. * Apply causal inference and econometric techniques such as difference\-in\-differences, synthetic controls, panel data methods, instrumental variables, regression discontinuity, propensity score methods, and time\-series analysis to estimate business impact. * Develop frameworks for measuring incrementality, marketing effectiveness, customer behavior, and long\-term business outcomes. * Build decision\-support models and scenario an