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- Tasks: Enhance game analytics using advanced machine learning and design actionable insights.
- Company: Leading game development studio in Leeds with a collaborative culture.
- Benefits: Full-time position with opportunities for mentorship and professional growth.
- Why this job: Join a passionate team and make a real impact in the gaming industry.
- Qualifications: Over five years of data science experience and strong Python skills.
- Other info: In-office role in a dynamic environment focused on innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading game development studio in Leeds is seeking a Senior Data Scientist to enhance game analytics through advanced machine learning and data models. You will be responsible for designing actionable insights for stakeholders, developing data-driven solutions, and mentoring junior team members.
The ideal candidate will have over five years of data science experience, strong proficiency in Python, and a passion for the gaming industry. This is a full-time, in-office position offering a collaborative environment.
Senior Game Analytics Data Scientist — Lead Insights & ML in Leeds employer: Rockstar Games
Contact Detail:
Rockstar Games Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Game Analytics Data Scientist — Lead Insights & ML in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or at local meetups. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to gaming. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your machine learning concepts and Python skills. Be ready to discuss how you've used data to drive insights in past projects—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it shows you’re serious about joining our team.
We think you need these skills to ace Senior Game Analytics Data Scientist — Lead Insights & ML in Leeds
Some tips for your application 🫡
Show Your Passion for Gaming: When writing your application, let your love for gaming shine through! Share any relevant experiences or projects that highlight your enthusiasm for the industry. We want to see how your passion aligns with our mission.
Highlight Your Data Science Skills: Make sure to showcase your data science expertise, especially in Python and machine learning. Use specific examples from your past work to demonstrate how you've applied these skills to solve real-world problems. We’re looking for someone who can hit the ground running!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Mention how your experience aligns with the responsibilities of the Senior Data Scientist role. We appreciate candidates who take the time to connect their background with our needs.
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 it gets into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Rockstar Games
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python and machine learning. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Show Your Passion for Gaming
Since this role is in the gaming industry, it’s crucial to demonstrate your enthusiasm for games. Share your favourite games and explain how they inspire your work in data analytics. This will show that you’re not just a data whiz but also someone who genuinely cares about the industry.
✨Prepare Actionable Insights Examples
Think of examples where you've turned data into actionable insights. Be ready to explain your thought process and how your insights impacted decision-making. This will highlight your ability to communicate complex data in a way that stakeholders can understand and act upon.
✨Mentorship Mindset
As you'll be mentoring junior team members, be prepared to discuss your approach to mentorship. Think of examples where you've helped others grow in their roles, and be ready to share your philosophy on fostering a collaborative team environment.
