Senior Data Scientist

Overview This Senior Data Scientist will drive causal and machine learning-based analyses to measure the impact of product features on user behavior, engagement, and business outcomes, translating results into clear, actionable recommendations. The role partners closely with product, analytics engineering, and fellow data scientists to build in-house causal inference tools, define KPIs, build production-ready analytical workflows, and deliver high-quality, governed visualizations. Success in this role requires strong statistical judgment, experience with product-driven ML, and a focus on delivering insights that are both trustworthy and immediately usable by cross-functional stakeholders Key Responsibilities Causal Inference Design, implement, and productionalize statistically rigorous causal analyses to quantify the impact of product features on user behaviors, engagement metrics, and downstream business outcomes Develop and maintain causal frameworks that link product interventions to behavioral change, engagement shifts, and business performance Select and apply appropriate experimental and observational methods, leveraging regression- and ML-based approaches where appropriate t