Startups · AI

Lead Data Scientist, Inference

Strava · Strava SF · Remote

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About Strava

Strava connects millions of runners, cyclists, hikers, walkers and other active people through the sports they love – all on our mobile app and website. Backed by Sequoia.

About the role

Design measurement strategies for Strava's most complex initiatives, applying experimental and quasi-experimental methods (geo testing, difference-in-differences, IV, synthetic control, etc..) to quantify business outcomes Expand Strava’s understanding of the relationship between user experiences and business performance and evolve org-wide metric strategies, connecting product development and marketing efforts to high quality results

More about this role

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 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.

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.

Design measurement strategies for Strava's most complex initiatives, applying experimental and...

Read the full posting on Strava's site ↗

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