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 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 will partner closely with our engineering and data teams to deliver improvements to our experimentation platform for product and marketing improvements. The role drives organization-wide through expanding functionality of and visibility into our experiments, and by partnering with cross-functional teams to define processes that enable Strava to deliver the highest quality experiences to our athletes.

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:

• Build industry-leading experimentation process and platform for a consumer product serving ~tens of millions of athletes worldwide.

• Partner with engineers, product managers, and marketers to ensure experiments are successfully designed and shipped across product surfaces and marketing channels

• Collaborate closely with our Comms & Experimentation Platform engineers to expand our technical capabilities to expand our capabilities to support experiment designs and methods for serving experiences to athletes

• Serve as a domain expert to aid the data team horizontally in pursuits related to experimentation and inference

What You’ll Bring to the Team:

• 5+ years of experience in data science or a related quantitative domain with hands-on experience working on experiments, preferably with back-end knowledge of experimentation systems

• Deep familiarity with methodology and common issues in scaling experimentation— e.g. hypothesis/noninferiority testing, incremental lift estimation, power estimation, program-level holdout experiments, winner’s curse, and interaction effects

• Strong SQL proficiency and comfort writing software for statistical data processing

• Fluency in metrics and measurement for consumer software products, and comfort in working with cross-functional partners to translate business needs into technical plans and vice versa
  

For information on benefits, please click here.

Why Join Us?

Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.

Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.

When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.

Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.

Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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