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.