Lead Data Scientist, Data Products & Measurement

Strava, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Strava is looking for a Data Scientist to join the Data Products team and transform Strava's activity data into reliable, reusable datasets powering user experiences at scale. This strategic individual contributor role partners with ML engineers to set evaluation standards and drive the measurement loop.

You will define how to measure success, monitor production models, and surface opportunities for higher impact across Strava's global platform.

Qualifications

• 5+ years of experience in data science or related quantitative domain with production-level model evaluation experience.
• Experience defining evaluation frameworks, including baseline, offline and online metrics and validation strategies.
• Strong SQL skills and Python proficiency for statistical data processing.

Responsibilities

• Define good benchmarks and evaluation standards for Strava's ML products and models.
• Build measurement layers to monitor cross-domain ML product performance.
• Own experimentation and monitoring for production models and data quality of enriched datasets.
• Identify AI/ML product opportunities and translate them into scoped initiatives with clear success criteria.
• Serve as the data science domain expert, elevating baselines, validation, and evidence quality.

Skills

5+ years data science

SQL proficiency

Python for data processing

Measurement & evaluation design

Cross-functional collaboration

Job description

Strava is looking for a Data Scientist to join the Data Products team and transform Strava's activity data into reliable, reusable datasets powering user experiences at scale. This strategic individual contributor role partners with ML engineers to set evaluation standards and drive the measurement loop.

You will define how to measure success, monitor production models, and surface opportunities for higher impact across Strava's global platform.