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- Tasks: Create algorithms and deliver insights from wearable and GPS data to enhance athlete training.
- Company: Leading sports technology company focused on athlete performance.
- Benefits: Competitive salary, work-life harmony, and opportunities for professional development.
- Why this job: Join a team that uses cutting-edge tech to revolutionise athlete training.
- Qualifications: Expertise in signal processing, statistical operations, and AI/ML models required.
- Other info: Exciting role with potential for significant impact in the sports industry.
The predicted salary is between 66000 - 111000 £ per year.
A sports technology company is seeking a Senior Data Scientist for its Athlete Performance team in London. This role involves creating algorithms and delivering insights from wearable and GPS data that enhance how athletes train.
Candidates should have expertise in signal processing, statistical operations, and a proven track record with AI/ML models.
The role promotes work-life harmony and professional development with a competitive salary range of £66,000 to £111,000 GBP.
Senior Data Scientist - Athlete Performance (Wearables) employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Athlete Performance (Wearables)
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the sports tech field, especially those who work with wearable data. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best AI/ML projects, especially those related to athlete performance. We want to see how you’ve turned data into actionable insights that make a difference.
✨Tip Number 3
Ace the interview by practising common questions related to signal processing and statistical operations. We can help you with mock interviews to boost your confidence and ensure you’re ready to impress.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist - Athlete Performance (Wearables)
Some tips for your application 🫡
Show Your Passion for Sports Tech: When you're writing your application, let your enthusiasm for sports technology shine through! We want to see how your love for data and athletics can drive innovation in our Athlete Performance team.
Highlight Relevant Experience: Make sure to showcase your expertise in signal processing and AI/ML models. We’re looking for candidates with a proven track record, so don’t hold back on sharing your successes and projects that relate to wearable tech!
Tailor Your Application: Customise your CV and cover letter to align with the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for and how you fit into our vision at StudySmarter.
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’re considered for this exciting opportunity in our London team!
How to prepare for a job interview at Hudl
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of wearable and GPS data relevant to athlete performance. Brush up on your signal processing techniques and be ready to discuss how you've applied statistical operations in past projects.
✨Showcase Your AI/ML Expertise
Prepare to talk about specific AI/ML models you've developed or worked with. Bring examples that demonstrate your ability to create algorithms that provide actionable insights, and be ready to explain your thought process behind them.
✨Align with Their Values
Research the company’s approach to work-life harmony and professional development. Be prepared to discuss how you value these aspects in your own work and how you can contribute to a positive team culture.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, challenges they face with data, or how they envision the future of athlete performance technology.