Lead Data Scientist, Data Products

📋 Description

• Define good performance for Strava's models and ML products
• Build measurement layer for cross-domain ML products
• Own experiments and monitor production models
• Identify AI/ML product opportunities with scoped criteria
• Serve as DS domain expert for baselines and validation

🎯 Requirements

• 5+ years in data science or quantitative field
• Experience defining evaluation frameworks for ML problems
• Strong SQL and production-quality Python
• Fluency in metrics for consumer software

🎁 Benefits

• Benefits information linked in job post
• Hybrid work model with in-office time in San Francisco