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- Tasks: Leverage machine learning and data analysis to enhance game development.
- Company: Leading video game company in Leeds with a creative culture.
- Benefits: Full-time role with competitive salary and opportunities for mentorship.
- Why this job: Shape the future of gaming while working in a collaborative environment.
- Qualifications: Proficiency in SQL and Python, plus a passion for gaming.
- Other info: Join a team where your insights directly impact player experiences.
The predicted salary is between 30000 - 42000 £ per year.
A leading video game company based in Leeds seeks a passionate Data Scientist to join their team. This full-time role focuses on leveraging machine learning and data analysis to improve game development.
- Key responsibilities include designing analytical solutions, providing actionable insights, and mentoring junior team members.
- Candidates should have proficiency in SQL and Python, plus a strong passion for gaming.
Join a collaborative environment where creativity flourishes and your skills enhance player experiences.
Data Scientist, Game Analytics — Insights that Shape Games employer: Rockstar
Contact Detail:
Rockstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Game Analytics — Insights that Shape Games
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or through gaming forums. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to gaming. This will help us demonstrate your passion and expertise in a way that stands out.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. We should also be ready to discuss how we can leverage machine learning to enhance player experiences—think of specific examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our awesome team.
We think you need these skills to ace Data Scientist, Game Analytics — Insights that Shape Games
Some tips for your application 🫡
Show Your Passion for Gaming: When writing your application, let your love for gaming shine through! Share any personal projects or experiences that highlight your enthusiasm and how it connects to the role of Data Scientist in game analytics.
Highlight Relevant Skills: Make sure to emphasise your proficiency in SQL and Python. We want to see how you've used these skills in past projects or roles, so don’t hold back on the details!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Scientist position. Show us why you’re the perfect fit for our 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’re considered for this exciting opportunity in our collaborative environment.
How to prepare for a job interview at Rockstar
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to derive insights or solve problems, especially in a gaming context.
✨Show Your Passion for Gaming
This role is all about enhancing player experiences, so be prepared to share your favourite games and how data could improve them. Show that you understand the gaming industry and are genuinely excited about contributing to it.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning and data analysis. Practice explaining complex concepts in simple terms, as you may need to mentor junior team members. Think of examples where you've applied these concepts in real-world scenarios.
✨Emphasise Collaboration
Since this is a collaborative environment, be ready to discuss how you've worked with others in past roles. Share examples of how you’ve contributed to team projects and how you can bring that collaborative spirit to their team.
