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- Tasks: Create and enhance algorithms for analysing athlete performance data.
- Company: Leading sports tech company with a focus on innovation.
- Benefits: Competitive salary, excellent work-life balance, and remote options.
- Why this job: Join a dynamic team and make a real impact in sports technology.
- Qualifications: Expertise in GPS tracking, strong maths skills, and AI/ML model experience.
- Other info: Supportive environment with opportunities for professional growth.
The predicted salary is between 66000 - 111000 £ per year.
A leading sports technology company in Looe is seeking a Senior Data Scientist to join their Athlete Performance team. This role involves creating and improving algorithms for analyzing wearable sensor data, delivering insights to coaches, and collaborating with various internal teams.
Ideal candidates will have:
- Expertise in GPS tracking
- A strong mathematical background
- Experience in building AI/ML models
Competitive salary range from £66,000 to £111,000, excellent work-life balance, and a supportive environment are offered.
Senior Data Scientist, Athlete Performance — Remote Options in Looe employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Athlete Performance — Remote Options in Looe
✨Tip Number 1
Network like a pro! Reach out to people in the sports tech industry, especially those working in data science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with algorithms and AI/ML models. This is your chance to demonstrate how you can deliver insights that coaches will love.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of GPS tracking and wearable sensor data. We want to see you confidently discuss how your expertise can enhance athlete performance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist, Athlete Performance — Remote Options in Looe
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPS tracking and AI/ML models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about athlete performance and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Hudl
✨Know Your Algorithms
Brush up on the algorithms you've worked with, especially those related to wearable sensor data. Be ready to discuss how you've improved or created models in the past, and think about specific examples that showcase your expertise in AI/ML.
✨Understand the Sport
Familiarise yourself with the sports technology landscape and the specific challenges coaches face. Showing that you understand the context of your work will impress the interviewers and demonstrate your commitment to the role.
✨Prepare for Technical Questions
Expect technical questions that test your mathematical background and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate insights effectively to non-technical team members.
✨Showcase Collaboration Skills
Since this role involves working with various internal teams, be prepared to discuss your experience in collaboration. Share examples of how you've successfully worked with others to deliver insights and drive results in previous projects.