At a Glance
- Tasks: Design data analytics solutions and deliver high-quality insights for gaming.
- Company: Major video game developer with a passion for innovation.
- Benefits: Competitive salary, in-office perks, and opportunities for professional growth.
- Why this job: Combine your love for gaming with data science to drive strategic initiatives.
- Qualifications: 5+ years in data science, strong machine learning and statistical skills.
- Other info: Join a dynamic team in Leeds and shape the future of gaming.
The predicted salary is between 36000 - 60000 £ per year.
A major video game developer is seeking a Senior Data Scientist for a full-time, in-office position in Leeds. The role focuses on designing data analytics solutions and delivering high-quality insights.
Candidates should possess over 5 years of experience in data science, with strong skills in machine learning and statistical theories.
Responsibilities include:
- Developing data products
- Conducting predictive modeling to drive strategic initiatives
A passion for gaming is essential.
Senior Data Scientist, Game Analytics (In-Office) in Leeds employer: Rockstar Games
Contact Detail:
Rockstar Games Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Game Analytics (In-Office) in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially those related to gaming. We want to see your predictive modelling and machine learning prowess in action!
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and gaming knowledge. We recommend practising common data science interview questions and being ready to discuss how your insights can impact game development.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing passionate gamers who are eager to make an impact in the industry!
We think you need these skills to ace Senior Data Scientist, Game Analytics (In-Office) in Leeds
Some tips for your application 🫡
Show Your Passion for Gaming: Make sure to highlight your love for gaming in your application. We want to see how your passion aligns with our mission and the role itself, so don’t hold back on sharing your gaming experiences!
Tailor Your CV and Cover Letter: When applying, customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We appreciate when candidates take the time to connect their background with what we’re looking for.
Highlight Relevant Experience: With over 5 years of experience required, be sure to showcase your expertise in data science, machine learning, and statistical theories. We want to see concrete examples of how you've applied these skills in previous roles.
Apply Through Our Website: For a smooth application process, make sure to apply 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 Rockstar Games
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and statistical theories. Be ready to discuss specific projects where you've applied these skills, especially in gaming contexts. This will show that you not only understand the theory but can also apply it practically.
✨Show Your Passion for Gaming
Since this role is with a major video game developer, let your love for gaming shine through. Share your favourite games and how they inspire your work in data science. This personal touch can set you apart from other candidates.
✨Prepare for Predictive Modelling Questions
Expect questions about predictive modelling techniques and how you've used them to drive strategic initiatives. Have examples ready that demonstrate your ability to develop data products that deliver actionable insights.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data analytics challenges or how they envision the future of gaming analytics. This shows you're engaged and thinking ahead.