What you'll do: - Design and execute measurement approaches across randomized experiments, quasi-experiments and observational causal inference where controlled tests are impractical. - Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. - Build reusable analytical solutions, dashboards and code to improve the quality and efficiency of measurement. - Collaborate with product managers, engineers, analysts and business stakeholders to identify high-impact measurement opportunities and ensure decisions are evidence-based. - Communicate findings clearly to both technical and non-technical audiences. - Stay current with developments in statistics, ML and AI to improve measurement capabilities.

What we're looking for: - Master's degree (or equivalent) in Statistics, Economics, Mathematics, Computer Science, Data Science or similar; PhD preferred. - 3+ years of industry experience applying experimentation, causal inference, statistical modeling, ML or related analytical techniques. - Strong understanding of experimental design and modern causal inference methods. - Proficiency in Python and SQL; experience delivering robust analytical solutions with sound statistical principles and software engineering practices. - Strong s

What you'll do: - Design and execute measurement approaches across randomized experiments, quasi-experiments and observational causal inference where controlled tests are impractical. - Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. - Build reusable analytical solutions, dashboards and code to improve the quality and efficiency of measurement. - Collaborate with product managers, engineers, analysts and business stakeholders to identify high-impact measurement opportunities and ensure decisions are evidence-based. - Communicate findings clearly to both technical and non-technical audiences. - Stay current with developments in statistics, ML and AI to improve measurement capabilities.

What we're looking for: - Master's degree (or equivalent) in Statistics, Economics, Mathematics, Computer Science, Data Science or similar; PhD preferred. - 3+ years of industry experience applying experimentation, causal inference, statistical modeling, ML or related analytical techniques. - Strong understanding of experimental design and modern causal inference methods. - Proficiency in Python and SQL; experience delivering robust analytical solutions with sound statistical principles and software engineering practices. - Strong s