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- Tasks: Transform sports data into insights using machine learning and AI.
- Company: Leading sports tech company in Northern Ireland with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on elite sports performance through cutting-edge technology.
- Qualifications: Degree in a related field and skills in Python and SQL required.
- Other info: Join a high-performance team and shape the future of sports technology.
The predicted salary is between 36000 - 60000 £ per year.
A cutting-edge sports technology company in Northern Ireland seeks a Data Scientist to turn vast datasets from GPS and IMU sensors into actionable insights. The role involves developing machine learning and AI solutions that enhance team performance.
Candidates should have a degree in a related field and proficiency in Python and SQL, with experience in data science production environments.
Join our high-performance team to directly influence sports technology at the elite level.
Elite Sports Data Scientist — ML for Performance in Newry employer: STATSports
Contact Detail:
STATSports Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elite Sports Data Scientist — ML for Performance in Newry
✨Tip Number 1
Network like a pro! Reach out to professionals in the sports tech industry on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. We want to see how you’ve turned data into insights, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your machine learning concepts and practical applications. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Elite Sports Data Scientist — ML for Performance in Newry
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL in your application. We want to see how your technical skills can help us turn data into actionable insights for elite sports performance.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your experience aligns with the role. We’re looking for someone who understands the unique challenges of sports technology, so let that shine through.
Share Your Projects: If you’ve worked on any relevant projects, especially in data science or machine learning, be sure to include them. We love seeing real-world applications of your skills and how they could benefit our high-performance team.
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 STATSports
✨Know Your Data Inside Out
Make sure you’re familiar with the types of datasets you'll be working with, especially GPS and IMU sensor data. Brush up on how these datasets can be transformed into actionable insights, as this will show your potential employer that you understand the core of the role.
✨Showcase Your Python and SQL Skills
Prepare to discuss specific projects where you've used Python and SQL in a data science production environment. Bring examples of your code or analyses to demonstrate your proficiency, as practical knowledge is key in this field.
✨Understand Machine Learning Applications in Sports
Research how machine learning and AI are currently being applied in sports technology. Be ready to share your thoughts on innovative solutions that could enhance team performance, as this will highlight your passion and forward-thinking approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals in sports technology. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.
