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- Tasks: Support experimentation and measurement for key gaming products with analytical insights.
- Company: Leading gaming company in Greater London with a vibrant culture.
- Benefits: Discretionary bonus, private medical insurance, and generous leave.
- Why this job: Join a dynamic team and make an impact in the gaming industry.
- Qualifications: Degree in a quantitative field and proficiency in SQL and Python.
- Other info: Enjoy a hybrid working model and opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading gaming company in Greater London is seeking a Data Scientist to support experimentation and measurement for key products. You will work with senior data scientists to deliver analytical insights and benefit from a hybrid working model.
The ideal candidate will have:
- A degree in a quantitative field
- Strong proficiency in SQL and Python
- Experience in statistical testing and A/B testing
This role offers a range of benefits including a discretionary bonus, private medical insurance, and generous leave.
Data Scientist — Experimentation & Measurement employer: Sony Playstation
Contact Detail:
Sony Playstation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Experimentation & Measurement
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Python projects, especially any A/B testing you've done. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and case studies. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications easily and follow up if needed.
We think you need these skills to ace Data Scientist — Experimentation & Measurement
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools in past projects, especially when it comes to statistical testing and A/B testing.
Tailor Your CV: Don’t just send the same CV to every job. Customise yours to reflect the key requirements from the job description. We love seeing candidates who take the time to align their experience with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our experimentation and measurement efforts. We appreciate a personal touch!
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Sony Playstation
✨Know Your Numbers
Brush up on your SQL and Python skills before the interview. Be prepared to discuss how you've used these tools in past projects, especially in relation to statistical testing and A/B testing. Having specific examples ready will show your expertise and confidence.
✨Understand the Gaming Industry
Familiarise yourself with the gaming company’s products and their approach to experimentation and measurement. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role and the industry.
✨Prepare for Technical Questions
Expect technical questions that assess your analytical thinking and problem-solving skills. Practice explaining your thought process clearly and concisely, as this will be crucial when discussing complex data scenarios during the interview.
✨Showcase Your Team Spirit
Since you'll be working closely with senior data scientists, highlight your ability to collaborate effectively. Share examples of successful teamwork from your past experiences, emphasising how you contributed to achieving common goals.
