Senior Decision Scientist, Core Experiences

Role overview

Be the senior analytical partner for product and business teams, using evidence to shape what gets built, how users are served, and where resources go. The focus is decision science rather than production machine learning: frame important questions, measure user behavior, establish what causes outcomes, and turn findings into actions that improve both user experience and business results.

Responsibilities - Advise product, engineering, marketing, and finance partners, connecting roadmaps and user behavior to decisions and investment priorities. - Design experiments and apply causal inference methods to distinguish cause from correlation. - Work with engineering on event instrumentation and with product teams to translate results into changes. - Develop measurement strategies and metrics that reflect user needs and business goals across complex, multi-user product experiences. - Present clear analytical narratives and recommendations to working teams and leadership. - Use coding agents and automated analysis to increase analytical capacity and help shape an AI-enabled analytics workflow.

Requirements - Five or more years in analytics, data science, or decision science at a consumer technology company. - Advanced quantitative education in a field such as economics, statistics, social science, or operations research, or equivalent practical experience. - Applied experience with causal inference techniques, such as difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, or propensity score matching. - Examples of influencing product or business strategy through cross-functional analytical work. - Experience with an experimentation platform such as Statsig or Optimizely. - Proficiency in SQL and Python or R for statistical analysis.

Nice to have

Experience with growth experiments in networked or social products, dbt or analytics engineering, retention analysis, and subscription or freemium business models.

Benefits and work setup

Remote-first within the United States. Compensation includes salary, equity, and benefits. Benefits include medical, dental, vision, life and disability coverage, paid parental leave, a matched 401(k), flexible time off, company holidays and seasonal shutdowns, learning support, and equipment or reimbursement for remote work.