Serve as the principal architect and subject-matter expert for the experimentation platform’s statistical engine. Design, implement, and optimize advanced statistical methodologies that underpin how we measure, learn, and innovate through experimentation. Conduct hands-on analysis of current and historical experiments to uncover insights, reduce noise, and continually improve our approach to causal inference.
Design, build, and deploy next generation AI-driven tools for market research, working at the intersection of data science and AI engineering. Develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. Build applications to simplify analytics and improve the efficiency of data processing. Collaborate with data analysts, product managers, UI designers, and software developers to create great products.
This is a highly technical, hands-on role for an AI-First Data Analyst who combines deep statistical know-how with modern AI tooling and automation instincts. You’ll build causal models, apply advanced machine learning techniques, and develop internal data tools that help our brands operate faster, smarter, and more autonomously. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisions.