Senior Data Scientist, ML Products & Metrics

United States Digital Space LLC; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Strava invites a Data Scientist to join the Data Products team, turning Strava's unique community and activity data into reliable, reusable datasets powering user experiences at scale. This strategic individual contributor role partners closely with a growing team of ML Engineers to drive measurement strategy and define the development feedback loop.

We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week.

Qualifications

• 5+ years of experience in data science or a related quantitative domain, including hands-on ownership of model evaluation and measurement for systems running in production.
• Experience defining evaluation frameworks for ambiguous ML problems, including baseline selection, offline and online metric design, and validation strategies.

Responsibilities

• Define what 'good' looks like for the company's internal models and the ML products built on top of it, setting the evaluation frameworks, offline and online metrics, and quality bars the team steers by.
• Build the measurement layer for cross-domain ML products, scaling the org’s visibility into performance across the business
• Own experimentation and monitoring for production models and contribute to monitoring of key metrics and drift detection for enriched datasets, ensuring quality for downstream athlete-facing experiences.
• Identify and size AI/ML product opportunities, translating ambiguous problem spaces into scoped initiatives with defined success criteria.
• Serve as the data science domain expert for the team, raising the standard for baselines, validation, and evidence quality across ML engineers and cross-functional partners.

Skills

SQL proficiency

Python

Experimentation

Data modeling

Cross-functional collaboration

Tools

Python (pandas)

SQL

Job description

Strava invites a Data Scientist to join the Data Products team, turning Strava's unique community and activity data into reliable, reusable datasets powering user experiences at scale. This strategic individual contributor role partners closely with a growing team of ML Engineers to drive measurement strategy and define the development feedback loop.

We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week.