Strava
Lead Data Scientist, Data Products
$240K–$260K
Strava SF · Hybrid · Full-time · Posted Aug 27, 2026
- Experience
- 5+ years in data science or a related quantitative domain, including hands-on ownership of model evaluation and measurement for production systems.
About the job
Lead measurement and evaluation for Strava’s data products, ensuring models and enriched datasets reliably support machine-learning products and athlete-facing experiences.
What you'll do
- Define evaluation frameworks, quality standards, and offline and online metrics for models and ML products.
- Build measurement, experimentation, and monitoring systems, including performance and drift monitoring.
- Identify and prioritize AI/ML opportunities and guide cross-functional teams on validation and evidence quality.
What they ask for
- Experience defining ML evaluation frameworks, including baselines, metrics, and validation when ground truth is imperfect.
- Strong SQL proficiency and production-quality Python for statistical data processing.
- Fluency in consumer software product metrics and measurement, and ability to work cross-functionally.
Pay
$240K – $260K (base salary)
Tools
SQL, Python
AI focus
Supports Strava’s AI strategy by evaluating and measuring ML models and products, monitoring performance and dataset quality, and identifying AI/ML product opportunities.
Model-written summary · the original posting is authoritative