About this role
Role Overview
The Lead Data Scientist, Data Products position at Strava is a strategic individual contributor role based in San Francisco with a hybrid schedule requiring three days on-site per week. This role suits an experienced quantitative professional who wants to drive the measurement strategy and evaluation standards for core artificial intelligence and machine learning products.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Strava operates the leading application for active individuals, connecting over 200 million athletes across more than 185 countries. The mission centers on motivating people to live active lives by using movement to connect communities. Backed by investors like Sequoia Capital, TCV, Madrone Partners, and Jackson Square Ventures, the company fosters an inclusive, equal opportunity workplace that encourages growth and teamwork.
How to Apply
Interested candidates should visit the official Strava careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
What is the location and work setup for this role?
The job is based in San Francisco and follows a flexible hybrid model requiring staff to work on-site three days per week.
What is the salary range for the Lead Data Scientist position?
The annual salary is between $240,000 and $260,000 USD.
How much experience is required to apply?
Applicants must have 5 or more years of experience in data science or a related quantitative domain.
What technical programming languages are necessary?
Strong SQL proficiency and the ability to write production-quality Python for statistical data processing are required.
What is the primary focus of the Data Products team?
The team turns Strava's community and activity data into reliable, enriched datasets that power user experiences at scale.