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- Tasks: Lead advanced analytics and design predictive models in the exciting world of sports.
- Company: Join a leading entertainment company at the forefront of sports data science.
- Benefits: Flexible hours, competitive salary, and opportunities for mentorship and growth.
- Why this job: Make an impact in sports analytics while working with cutting-edge technology.
- Qualifications: Strong expertise in data science, particularly in sports, with skills in Python and SQL.
- Other info: Dynamic environment with opportunities to mentor and collaborate across teams.
The predicted salary is between 42000 - 84000 £ per year.
A leading entertainment company seeks a Senior Sports Data Scientist to drive advanced analytics in sports. The role requires designing predictive models, collaborating across teams, and mentoring junior staff in a dynamic environment.
Candidates should have strong data science expertise, particularly in sports analytics, and advance proficiency in tools like Python and SQL. This position involves working flexible hours during major sports events, making strong communication skills essential.
Senior Sports Data Scientist: Lead ML & Analytics in Bristol employer: The Walt Disney Company (Germany) GmbH
Contact Detail:
The Walt Disney Company (Germany) GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sports Data Scientist: Lead ML & Analytics in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the sports analytics field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that Senior Sports Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytics projects, especially those related to sports. This will not only demonstrate your expertise but also make you stand out when we’re looking for someone with strong data science chops.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Since this role involves collaboration and mentoring, being able to clearly explain complex concepts is key. Practice explaining your past projects in simple terms to ensure you shine during the interview.
✨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, it shows you’re genuinely interested in joining our team and contributing to the exciting world of sports analytics.
We think you need these skills to ace Senior Sports Data Scientist: Lead ML & Analytics in Bristol
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your expertise in data science, especially in sports analytics. We want to see your experience with tools like Python and SQL, so don’t hold back on showcasing your projects or any predictive models you've designed!
Collaborate Like a Pro: Since this role involves working with various teams, it’s crucial to demonstrate your collaborative spirit. Share examples of how you’ve worked with others in the past, and how you can bring that teamwork vibe to our dynamic environment.
Mentorship Matters: If you have experience mentoring junior staff, make sure to mention it! We value leadership and guidance, so let us know how you’ve helped others grow in their data science journey.
Flexible Hours? No Problem!: This role requires flexibility during major sports events, so be upfront about your availability. Show us that you’re ready to embrace the excitement of the sports world while delivering top-notch analytics!
How to prepare for a job interview at The Walt Disney Company (Germany) GmbH
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in sports analytics. Be ready to discuss your experience with predictive models and how you've used Python and SQL in past projects. This will show that you’re not just familiar with the tools, but you can also apply them effectively.
✨Show Off Your Collaboration Skills
Since this role involves working across teams, think of examples where you’ve successfully collaborated with others. Prepare to share stories about how you’ve communicated complex data insights to non-technical stakeholders or mentored junior staff. This will highlight your ability to work in a dynamic environment.
✨Flexibility is Key
Be prepared to discuss your availability during major sports events. Companies want to know that you can adapt to flexible hours. Share any previous experiences where you’ve managed your time effectively around busy schedules, especially during critical project phases.
✨Practice Your Communication Skills
Strong communication is essential for this role. Practice explaining your past projects and technical concepts in simple terms. You might even want to do a mock interview with a friend to get comfortable articulating your thoughts clearly and confidently.
