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Data Scientist II (Applied Researcher)

London, United Kingdom

At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces.  

We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.

Ready to join us?

Your Role

We’re looking for a Data Scientist II to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You’ll drive game-changing initiatives that use cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools.

As a Data Scientist II, your key responsibilities will include:

  • Delivering for customers at scale. You’ll build, deploy, monitor and iterate on ML models and systems that scale across 40+ sports and to thousands of simultaneous sports matches.
  • Collaboration. You’ll work on a cross-functional team with Data Scientists and Engineers to deliver end-to-end solutions for our customers.

For this role, we’re currently considering candidates who live within a commuting distance of our office in London. But with our flexible work policy, there aren’t any current requirements for the number of days you come to the office.

Must-Haves

  • Technical expertise. You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. 
  • A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners.
  • Strong communicator. You can easily and clearly express yourself. You’re able to convey technical concepts and trade-offs to cross-functional stakeholders.
  • Growth mindset. You’ve picked up new technologies and domains on the …
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