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- Tasks: Design analytics solutions and mentor junior staff to enhance gameplay.
- Company: Leading game development company in Leeds with a creative and inclusive culture.
- Benefits: Full-time position with opportunities for professional growth and innovation.
- Why this job: Join a passionate team and make a real impact in the gaming industry.
- Qualifications: 5+ years in data science, strong SQL, Python, and data visualisation skills.
- Other info: Dynamic environment focused on creativity and collaboration.
The predicted salary is between 42000 - 84000 £ per year.
A leading game development company in Leeds is seeking a passionate Senior Data Scientist who is experienced in leveraging big data to enhance gameplay. This full-time position involves designing analytics solutions, mentoring junior staff, and requires proficiency in machine learning and statistics.
Ideal candidates will have over 5 years in a data science role and possess strong SQL, Python, and data visualization skills. Join a creative team in an inclusive environment committed to innovation.
Senior Data Scientist, Game Analytics & ML Insights in Leeds employer: Rockstar
Contact Detail:
Rockstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Game Analytics & ML Insights in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those related to game analytics. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python skills with real-world problems. The more confident you are, the better you'll perform in technical interviews.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets seen by the right people. Don't miss out on this opportunity!
We think you need these skills to ace Senior Data Scientist, Game Analytics & ML Insights in Leeds
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for game analytics shine through! We want to see how your love for gaming and data can enhance gameplay. Share specific examples of projects or experiences that fuel your passion.
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with big data, machine learning, and any relevant projects. We’re looking for those 5+ years of experience, so don’t be shy about showcasing your skills in SQL, Python, and data visualisation.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary and make sure to highlight your key achievements in a way that stands out!
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 shows you’re serious about joining our creative team!
How to prepare for a job interview at Rockstar
✨Know Your Data Inside Out
Make sure you’re well-versed in the big data concepts relevant to game analytics. Brush up on your SQL and Python skills, and be ready to discuss how you've used these tools to enhance gameplay in previous roles.
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior staff, think of examples where you've successfully guided others. Be prepared to share your approach to teaching complex concepts in machine learning and statistics.
✨Prepare for Technical Questions
Expect to face technical questions that test your knowledge of machine learning algorithms and statistical methods. Practise explaining these concepts clearly and concisely, as if you were teaching someone new to the field.
✨Demonstrate Your Passion for Gaming
This is a creative team looking for someone who loves gaming. Share your personal experiences with games and how data can improve player engagement. Show them that you’re not just a data scientist, but also a gamer at heart!