About this role
Strava is hiring a Lead Data Scientist, Inference to join their technology team on a flexible hybrid basis in San Francisco. This strategic individual contributor role is suited for an experienced quantitative professional who wants to connect product and marketing efforts to tangible business outcomes.
Role Overview
The Lead Data Scientist, Inference role focuses on solving high-leverage challenges by applying machine learning, causal inference, and measurement systems. Operating as a strategic individual contributor, this position bridges product and marketing work with concrete results for athletes and the business. The professional in this role creates new scientific approaches to measure business performance, builds causal frameworks, and helps shape organization-wide metric strategies. This position operates under a flexible hybrid model, requiring team members to be on-site in the San Francisco office for more than half of their working time, specifically three days per week.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Strava serves as the application for active people, supporting over 200 million athletes across more than 185 countries in tracking workouts and making collective progress. The company operates with a mission to motivate individuals to live their best active lives while connecting people through movement. Backed by investors including Sequoia Capital, TCV, Madrone Partners, and Jackson Square Ventures, Strava maintains a commitment to building an inclusive workplace that embraces diverse backgrounds and perspectives.
How to Apply
Interested candidates should submit their application directly on the official Strava careers page.
Skills and tech stack
Questions candidates ask
What is the salary for the Lead Data Scientist, Inference role?
The salary ranges from $240,000 to $260,000 per year in USD.
Where is this job located?
The position is based in San Francisco with a flexible hybrid schedule requiring three days per week on-site.
How many years of experience are required?
Candidates must have 5 or more years of experience in data science or a related quantitative domain.
What technical skills are needed for this position?
Required technical skills include strong SQL proficiency and Python capabilities for statistical data processing and production-quality code.
How can I apply for this job?
You can apply by visiting the official Strava careers page.