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- Tasks: Design and deliver data analytics solutions to enhance game experiences.
- Company: Leading game development company in Leeds with a focus on innovation.
- Benefits: Full-time role with opportunities for mentorship and collaboration.
- Why this job: Combine your passion for gaming and data storytelling to make an impact.
- Qualifications: Over 2 years of experience in data science, SQL, and Python skills required.
- Other info: Join a dynamic team dedicated to pushing the boundaries of gaming.
The predicted salary is between 36000 - 60000 £ per year.
A leading game development company in Leeds seeks a passionate Data Scientist to design and deliver data analytics solutions for critical business questions.
Candidates should have over 2 years of experience, proficiency in statistical theories, and strong skills in SQL and Python.
This full-time role involves collaborating with various stakeholders, mentoring junior team members, and leveraging data to enhance game experiences.
A passion for video games and data storytelling is essential. Join a dynamic team committed to innovation.
Game Analytics Data Scientist in Leeds employer: Rockstar Games
Contact Detail:
Rockstar Games Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Game Analytics Data Scientist 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 help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially those related to gaming. We want to see how you’ve used SQL and Python to tell compelling stories with data.
✨Tip Number 3
Prepare for interviews by brushing up on statistical theories and real-world applications. We recommend practising common data science interview questions and thinking about how you’d apply your knowledge to enhance game experiences.
✨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, we love seeing passionate candidates who are eager to join our innovative team.
We think you need these skills to ace Game Analytics Data Scientist in Leeds
Some tips for your application 🫡
Show Your Passion for Gaming: When writing your application, let your love for video games shine through! Share any relevant experiences or projects that highlight your enthusiasm for gaming and how it connects to your data skills.
Highlight Your Technical Skills: Make sure to showcase your proficiency in SQL and Python clearly. We want to see how you've used these tools in past projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific aspects of the job description that excite you and how your experience aligns with our needs. It shows us you’ve done your homework!
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 with our dynamic team!
How to prepare for a job interview at Rockstar Games
✨Know Your Data
Make sure you brush up on your statistical theories and data analytics skills. Be prepared to discuss how you've used SQL and Python in past projects, and think of specific examples where your insights led to improved game experiences.
✨Show Your Passion for Gaming
Since this role is all about enhancing game experiences, let your love for video games shine through. Share your favourite games and explain how data could improve them. This will show that you’re not just a data whiz but also someone who genuinely cares about the gaming industry.
✨Collaboration is Key
This position involves working with various stakeholders, so be ready to talk about your experience collaborating with different teams. Highlight any mentoring you've done with junior members, as it shows leadership and teamwork skills that are crucial for this role.
✨Prepare for Data Storytelling
Data storytelling is essential in this role. Think about how you can present complex data in a way that's engaging and easy to understand. Prepare a few examples of how you've turned data into compelling narratives in your previous work.
