At a Glance
- Tasks: Lead the development of machine learning models and innovative metrics for global football.
- Company: Join Hudl, a leader in sports performance analysis with a collaborative culture.
- Benefits: Enjoy a competitive salary, excellent work-life balance, and growth opportunities.
- Other info: Remote position with a dynamic environment and career advancement potential.
- Why this job: Make an impact in sports analytics while mentoring and collaborating with a talented team.
- Qualifications: Strong background in statistical modelling, machine learning, Python, and PostgreSQL.
The predicted salary is between 76000 - 127000 € per year.
Hudl is looking for a Lead Data Scientist to join their Global Football Metrics data science team in Greater London. This role involves collaborating with various departments to deliver machine learning models, developing innovative metrics, and mentoring team members.
Ideal candidates should have a strong background in statistical modeling and machine learning, with experience in Python and databases like PostgreSQL.
The position offers a competitive salary range between £76,000 to £127,000 GBP, along with excellent work-life balance and growth opportunities.
Lead Data Scientist, Global Football Metrics — Remote employer: Hudl
Hudl is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the dynamic field of sports analytics. With a strong emphasis on employee growth, team members are encouraged to develop their skills through mentorship and hands-on experience in cutting-edge machine learning projects. The remote nature of this role allows for a flexible work-life balance, making it an ideal opportunity for those seeking meaningful and rewarding employment in Greater London.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist, Global Football Metrics — Remote
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Hudl or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and statistical models. This is your chance to shine and demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and PostgreSQL skills. We all know technical interviews can be tough, so practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Data Scientist, Global Football Metrics — Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in statistical modelling and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and PostgreSQL expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our Global Football Metrics team. Let us know what excites you about this opportunity!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve innovative metrics or machine learning models.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Hudl
✨Know Your Stats
Brush up on your statistical modelling and machine learning concepts. Be ready to discuss specific projects where you've applied these skills, especially in Python and with databases like PostgreSQL. This will show that you not only understand the theory but can also implement it effectively.
✨Collaborate Like a Pro
Since this role involves working with various departments, think of examples where you've successfully collaborated in the past. Prepare to share how you communicated complex data insights to non-technical stakeholders, as this will highlight your ability to bridge gaps between teams.
✨Innovate and Inspire
Hudl is looking for someone who can develop innovative metrics. Come prepared with ideas or examples of unique metrics you've created or would like to explore. This shows your creativity and passion for pushing the boundaries in data science.
✨Mentorship Mindset
As a Lead Data Scientist, mentoring is key. Think about your previous experiences mentoring others and be ready to discuss your approach. Highlight how you fostered growth in your team members and what strategies you used to help them succeed.
