At a Glance
- Tasks: Create innovative machine learning models and collaborate on sports analytics projects.
- Company: Hudl, a leader in sports analytics with a focus on teamwork.
- Benefits: Flexible work arrangements, competitive salary, and additional incentives.
- Other info: Remote work opportunity with excellent career growth potential.
- Why this job: Join a dynamic team and make an impact in global football analytics.
- Qualifications: Strong quantitative skills and experience with statistical models.
The predicted salary is between 76000 - 127000 £ per year.
Hudl is seeking a Lead Data Scientist for their Global Football Metrics team. This role focuses on delivering innovative machine learning models and collaborating with cross-functional teams to provide insights for sports analytics.
The ideal candidate will have strong quantitative skills, experience with statistical models, and a knack for teamwork.
Hudl offers flexible work arrangements and a competitive salary range of £76,000 - £127,000 GBP, with additional incentives.
Lead Data Scientist - Global Football Analytics (Remote) employer: Hudl
Hudl is an exceptional employer that champions innovation and collaboration within the sports analytics field. With a flexible remote work culture, competitive salary packages, and a strong emphasis on employee growth through continuous learning opportunities, Hudl empowers its team members to thrive in their careers while making a meaningful impact in global football analytics.
