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- Tasks: Analyse player behaviour and turn data into winning strategies.
- Company: Leading gaming company with a passion for innovation.
- Benefits: Competitive salary, flexible working, and opportunities for growth.
- Why this job: Join a dynamic team and shape the future of gaming through data.
- Qualifications: Degree in a data-driven field and experience with R/Python and SQL.
- Other info: Minimum 3 days in the vibrant London office.
The predicted salary is between 28800 - 48000 £ per year.
A leading gaming company is seeking a Games Data Scientist to analyze player behavior and provide actionable insights. The role involves engaging with stakeholders, conducting exploratory data analyses, and using advanced statistical and machine learning techniques.
The ideal candidate will have a degree in a data-driven field and experience with R/Python and SQL. This position requires a minimum of 3 days in the central London office.
Games Data Scientist: Turn Player Data Into Strategy in England employer: Aristocrat Leisure
Contact Detail:
Aristocrat Leisure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Games Data Scientist: Turn Player Data Into Strategy in England
✨Tip Number 1
Network like a pro! Reach out to people in the gaming industry on LinkedIn or at events. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analyses and projects using R, Python, or SQL. This is your chance to demonstrate how you can turn player data into actionable strategies.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and machine learning techniques. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨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 candidates who are proactive about their job search!
We think you need these skills to ace Games Data Scientist: Turn Player Data Into Strategy in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with R, Python, and SQL in your application. We want to see how you've used these tools to turn data into actionable insights, just like you'll be doing in this role!
Engage with the Role: In your cover letter, let us know why you're excited about the Games Data Scientist position. Share any relevant projects or experiences that demonstrate your ability to analyse player behaviour and engage with stakeholders.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who follow the process!
How to prepare for a job interview at Aristocrat Leisure
✨Know Your Data Tools
Make sure you're well-versed in R, Python, and SQL. Brush up on your coding skills and be ready to discuss specific projects where you've used these tools to analyse player data. Being able to demonstrate your technical expertise will impress the interviewers.
✨Understand Player Behaviour
Dive deep into player behaviour analytics. Familiarise yourself with common metrics and trends in gaming. Be prepared to discuss how you would turn insights from player data into actionable strategies that can enhance gameplay and engagement.
✨Engage with Stakeholders
Think about how you would communicate your findings to non-technical stakeholders. Practice explaining complex data insights in simple terms. This will show that you can bridge the gap between data science and business strategy, which is crucial for this role.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your problem-solving skills. Prepare examples of past experiences where you've tackled data challenges or provided strategic recommendations based on your analyses. This will showcase your practical application of data science in a gaming context.
