Lead Data Scientist, Inference

📋 Description Design measurement strategies for Strava's most complex initiatives, applying experimental and Expand Strava’s understanding of the relationship between user experiences and business performance Lead deep root-cause investigations into business and product performance, developing novel Serve as a domain expert in inference for the data team horizontally, reviewing measurement designs 🎯 Requirements 5+ years of experience in data science or a related quantitative domain with experience owning Depth in causal inference methods and their real-world failure modes, with the judgment to know Strong SQL proficiency and comfort writing Python for statistical data processing Python proficiency, with comfort writing production-quality code for statistical analysis and Ability to communicate quantitative findings as a clear narrative to technical and non-technical 🎁 Benefits For information on benefits, please click here.