Technology · Data and Insights
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
ABOUT THIS ROLE
THE DATA SCIENCE TEAM AT STRAVA WORKS ACROSS THE ORGANIZATION TO FIND SOLUTIONS TO THE HIGHEST-LEVERAGE, AND OFTEN THE MOST CHALLENGING, PROBLEMS FACING THE BUSINESS. WE USE MACHINE LEARNING, CAUSAL INFERENCE, AND MEASUREMENT SYSTEMS TO SYNTHESIZE STRAVA’S UNIQUE DATA ASSETS INTO MODELS, METRICS, AND RECOMMENDATIONS THAT OUR LEADERSHIP TEAM CAN ACT ON WITH CONFIDENCE.
This is a strategic individual contributor role that works to link the efforts of our product and marketing teams to tangible outcomes for our athletes and for our business. You’ll develop novel scientific approaches to measuring out business, developing the necessary causal frameworks and models, and help teams develop and evolve our metric strategy to ensure development across the company points toward the highest-leverage outcomes
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.
WHAT YOU’LL DO
- Design measurement strate