About This Role

Strava is the leading digital community for active people with more than 125 million athletes, in more than 190 countries. The platform offers a holistic view of your active lifestyle, no matter where you live, which sport you love and/or what device you use. Everyone belongs on Strava when they are pursuing an active life.

We are looking for an experienced leader to help us unlock the practical applications of our data. You will be responsible for leading a team of analysts, data scientists and machine learning engineers to help set and inform strategies across the company, improve our athlete experience and strengthen Strava’s business. This role reports to Strava’s Chief Technology Officer and tightly partners with several others on our leadership team, including the CEO. You will be a member of the groups where key strategic decisions are made including the extended leadership team and the revenue strategy group.

This is a hybrid role based in our San Francisco office.

For more information on compensation and benefits, please click here.

Responsibilities

  • Contribute to Strava’s long-term data strategy as well as short-term priorities at the level of product, engineering, and marketing teams to deliver immediate business value
  • Motivate and develop a team of top-notch analysts, data scientists, and ML engineers who are engaged by and excited about solving Strava’s biggest data challenges and understanding our athlete community better each day
  • Collaborate with engineering teams to ensure that we’re building the infrastructure we need to capture and make our data actionable as the business evolves.
  • Collaborate with the product and revenue strategy teams to connect athlete needs to product development and business value through analytics and data science
  • Have a strong business mindset, recognizing the the value of efficiency over exotic, complex solutions
  • Improve and champion the use of all the tools and processes necessary to enable data-informed decision-making across the organization
  • Help unlock the full potential of Strava's data for athletes and our business by encouraging a positive relationship with our qualitative research program.
  • Uncover measurable insights about our global community of athletes, both for internal and external consumption; turn volumes of data into product features, partnership opportunities, and other strategic interests.

Requirements

  • M.S. in applied computer science, statistics, mathematics or similar technical degree
  • 7-10+ years of experience in data analysis, data science, or other quantitative domains
  • A minimum of 5+ years of experience in leading and managing high-performing teams
  • Consistent record of supporting data competencies within organizations
  • Solid understanding of data science and ML applications within consumer products
  • Ability to code in R, python or other languages applicable to data science
  • Experience working with SQL, Tableau (or other related BI and data exploration tools), event tracking, and experimentation tools.
  • Excellent oral and written communication skills; polished presenter to executive audiences

About Strava

Strava is Swedish for “strive,” which epitomizes who we are and what we do. We’re a passionate and committed team, unified by our mission to connect athletes to what motivates them and help them find their personal best. With billions of activity uploads from all over the world, we have a humbling and adventurous vision: to be the record of the world’s athletic activities and the technology that makes every effort count.

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 diverse teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.

Despite challenges in the world around us, we are continuing to grow camaraderie and positivity within our culture, and we are unified in our commitment to becoming an antiracist company. We are differentiated by our truly people-first approach, our compassionate leadership, and our belief that we can bring joy and inspiration to athletes’ lives — now more than ever. All to say, it’s a great time to join Strava!

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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