Strava aims to leverage its extensive data assets to enhance the athlete experience and strengthen business strategies. The role entails leading a team of data analysts, scientists, and machine learning engineers in order to inform decisions across various company functions. The position involves collaboration with engineering and revenue teams to ensure data is actionable and aligns with athlete needs. A focus on motivating the team to tackle significant data challenges is also key to this position.
Required Qualifications and Skills The role requires an M.S. in applied computer science, statistics, mathematics, or a similar technical degree. A minimum of 7 years of experience in data analysis or related fields, alongside at least 5 years in a leadership role, is necessary. Candidates should possess a solid understanding of data science and machine learning applications in consumer products, along with coding experience in languages applicable to data science. Effective communication skills, particularly for presentations to executive audiences, are also emphasized as important qualifications.
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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. And with billions of activity uploads from all over the world, we have a humbling and audacious 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. And 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, 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.When you're ready for a challenge and a team that will support you along the way, join us!
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