Data Scientist — Experimentation & Measurement
Data Scientist — Experimentation & Measurement

Data Scientist — Experimentation & Measurement

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and analyse experiments to evaluate PS+ personalisation and campaign performance.
  • Company: Join Sony Interactive Entertainment, a global leader in gaming and entertainment.
  • Benefits: Enjoy hybrid working, private medical insurance, 25 days holiday, and more perks.
  • Why this job: Be part of a diverse team shaping the future of gaming through data-driven insights.
  • Qualifications: Master’s or PhD in a quantitative field with 3-5 years of relevant experience required.
  • Other info: Bonus points for interest in video games and player behaviour!

The predicted salary is between 48000 - 84000 £ per year.

A leading gaming company is seeking a Data Scientist to support experimentation and measurement. This role emphasizes data-driven decision-making through statistical analysis and collaboration with engineering and product teams. Candidates should possess a relevant degree and proficiency in SQL and Python. Offering a hybrid working model and comprehensive benefits including private medical insurance, gym access, and a discretionary bonus. Join a dynamic team passionate about innovation and technology.
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Data Scientist — Experimentation & Measurement employer: Sony Interactive Entertainment

At Sony Interactive Entertainment, we pride ourselves on being not just the Best Place to Play, but also the Best Place to Work. Our inclusive work culture fosters innovation and collaboration, offering employees exceptional benefits such as hybrid working options, private medical insurance, and a vibrant office environment in London. With ample opportunities for professional growth and a commitment to diversity, we empower our team members to thrive while contributing to the exciting world of gaming.
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Contact Detail:

Sony Interactive Entertainment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist — Experimentation & Measurement

Tip Number 1

Familiarise yourself with A/B testing concepts and causal inference methods. Being able to discuss these topics confidently during your interview will show that you understand the core responsibilities of the role.

Tip Number 2

Brush up on your SQL and Python skills, as these are essential for data extraction and analysis in this position. Consider working on personal projects or contributing to open-source projects to demonstrate your proficiency.

Tip Number 3

Stay updated on the latest trends in data science and experimentation. Being knowledgeable about recent advancements can help you stand out and show your passion for the field during discussions with the hiring team.

Tip Number 4

If you have a background or interest in gaming, make sure to highlight this in conversations. Understanding player behaviour and the gaming industry can give you an edge and align you more closely with PlayStation's mission.

We think you need these skills to ace Data Scientist — Experimentation & Measurement

A/B Testing
Causal Inference
SQL
Python
Statistical Techniques
Machine Learning Modelling
Data Analysis
Experimental Design
Data Interpretation
Cross-Functional Collaboration
Communication Skills
Problem-Solving Skills
Attention to Detail
Adaptability

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist – Experimentation & Measurement role. Familiarise yourself with A/B testing concepts and causal inference methods, as these are crucial for the position.

Tailor Your CV: Customise your CV to highlight relevant experience in data science, particularly focusing on experimentation and measurement. Include specific projects or roles where you've designed experiments or analysed data using SQL and Python.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your interest in the gaming industry. Mention any relevant experience and how it aligns with Sony Interactive Entertainment's goals, especially in personalisation initiatives and campaign performance.

Showcase Your Skills: In your application, emphasise your proficiency in SQL and Python, as well as your understanding of statistical techniques and machine learning methods. Provide examples of how you've communicated data-driven insights to stakeholders in previous roles.

How to prepare for a job interview at Sony Interactive Entertainment

Understand A/B Testing Concepts

Make sure you have a solid grasp of A/B testing principles and causal inference methods. Be prepared to discuss how you've applied these concepts in previous roles, as this will demonstrate your expertise and relevance to the position.

Showcase Your Technical Skills

Highlight your proficiency in SQL and Python during the interview. Be ready to provide examples of how you've used these tools to extract and analyse data, as well as any specific projects where you've implemented statistical techniques or machine learning models.

Communicate Data-Driven Insights

Practice explaining complex data findings in a clear and concise manner. You may be asked to present insights from past projects, so focus on how you translated data into actionable recommendations for cross-functional teams.

Demonstrate Passion for Gaming

Since the role is with Sony Interactive Entertainment, showing an interest in video games and player behaviour can set you apart. Share any relevant experiences or insights related to gaming that could enhance your candidacy.

Data Scientist — Experimentation & Measurement
Sony Interactive Entertainment
Location: London
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