StaffDecisionScientist(StrategicInsights)

## Accountabilities Serve as the primary strategic analytics partner for an operating group, defining and driving the most critical questions that shape product, growth, and investment decisions. Lead high-impact causal and statistical analysis, including experimentation, A/B testing, and advanced inference methods to uncover drivers of user and business behavior. Translate complex analytical findings into clear, compelling narratives that influence leadership decisions and cross-functional roadmaps. Design and own measurement frameworks and metric strategies that reflect real user behavior and business outcomes across a complex product ecosystem. Partner closely with Product, Engineering, Marketing, and Finance to embed insights into decision-making and prioritize high-leverage initiatives. Build and refine instrumentation and data models in collaboration with data engineering teams to ensure reliable and meaningful analytics foundations. Contribute to the evolution of AI-native analytics workflows, helping scale self-serve insights and automation across the organization. Mentor senior team members in causal reasoning, experimental design, and modern analytics practices. Requirements: 8+ years of experience in data science, decision science, or advanced analytics within consumer or platform tech environments. Strong expertise in causal inference methodologies such as difference-in-differences, instrumental variables, regression discontinuity, and propensity score matching. Proven track record of influencing product or business strategy through data-driven insights and cross-functional collaboration. Deep experience with experimentation platforms (e.g., Statsig, Optimizely, or similar) and end-to-end A/B test design and analysis. Strong proficiency in SQL and Python or R for statistical modeling and analysis. Advanced degree in a quantitative field (economics, statistics, operations research, quantitative social sciences) or equivalent practical experience. Excellen