Staff Data Scientist – Experimentation: Innovation & Research in London
Staff Data Scientist – Experimentation: Innovation & Research

Staff Data Scientist – Experimentation: Innovation & Research in London

London Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead innovative research in experimentation and mentor fellow data scientists.
  • Company: Join PlayStation, a global leader in entertainment and gaming.
  • Benefits: Enjoy hybrid working, private medical insurance, and 25 days holiday.
  • Why this job: Shape the future of gaming through data-driven decision-making and innovation.
  • Qualifications: Master's degree in a relevant field and 8+ years of data science experience.
  • Other info: Be part of an inclusive culture that values diversity and collaboration.

The predicted salary is between 48000 - 72000 £ per year.

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognised as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

  • Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
  • Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
  • Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
  • Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation's strategic goals.
  • Act as a thought leader in experimentation and causal inference, evangelising best practices and fostering learning across teams.
  • Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behaviour variability and data limitations.
  • Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility.
  • Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
  • Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We’re Looking For:

  • Master's Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
  • Strong familiarity with the gaming industry and contemporary gaming experiences.
  • 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
  • Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
  • Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
  • Expertise in causal inference techniques and designing both randomised and quasi-experiments.
  • Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
  • Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
  • Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
  • A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Benefits:

  • Discretionary bonus opportunity
  • Hybrid Working (within Flexmodes)
  • Private Medical Insurance
  • Dental Scheme
  • 25 days holiday per year
  • On Site Gym
  • Subsidised Café
  • Free soft drinks
  • On site bar
  • Access to cycle garage and showers

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Staff Data Scientist – Experimentation: Innovation & Research in London employer: Sony Playstation

At PlayStation, we pride ourselves on being not just the Best Place to Play, but also the Best Place to Work. Our inclusive culture fosters innovation and collaboration, providing employees with opportunities for growth and mentorship in a dynamic environment. With benefits like hybrid working, private medical insurance, and a commitment to diversity, we empower our team to shape the future of gaming while enjoying a rewarding work-life balance.
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Contact Detail:

Sony Playstation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Scientist – Experimentation: Innovation & Research in London

Tip Number 1

Network like a pro! Reach out to current or former employees at PlayStation on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experimentation projects. When you get the chance to chat with hiring managers, share how you've driven innovation in your past roles.

Tip Number 3

Stay updated on industry trends! Follow gaming and data science news to discuss relevant topics during interviews. This shows your passion for the field and helps you connect with the team’s goals.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the PlayStation family. Don’t miss out!

We think you need these skills to ace Staff Data Scientist – Experimentation: Innovation & Research in London

Experimentation Methodologies
Causal Inference Techniques
Statistical Programming (R, Python)
SQL Proficiency
Data Science
Mentoring and Technical Leadership
Cross-Functional Collaboration
Communication Skills
Data Engineering Tools (Airflow, Git, Tableau, MicroStrategy)
Analytical Skills
Innovation in Experimentation
Measurement Frameworks
Scalable Modelling
Storytelling Skills

Some tips for your application 🫡

Show Your Passion for Innovation: When you're writing your application, let your enthusiasm for innovation and technology shine through. We want to see how your curiosity drives you to explore new methodologies in experimentation and causal inference.

Tailor Your Experience: Make sure to highlight your relevant experience in data science, especially in experimentation. We’re looking for someone with a proven track record, so don’t hold back on showcasing your achievements and how they align with our goals at PlayStation.

Communicate Clearly: Remember, we value excellent communication skills! When describing your past projects, aim to convey complex concepts in a way that’s easy to understand. This will show us that you can effectively share insights with both technical and non-technical stakeholders.

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. Plus, it’s super easy to do!

How to prepare for a job interview at Sony Playstation

Know Your Stuff

Make sure you brush up on your knowledge of experimentation methodologies and causal inference techniques. Be ready to discuss your past experiences in data science, especially any innovative projects you've led. This will show that you're not just familiar with the theory but have practical insights to share.

Show Your Passion for Gaming

Since this role is with PlayStation, it’s crucial to demonstrate your familiarity with the gaming industry. Share your thoughts on current trends, your favourite games, and how you think data science can enhance player experiences. This will help you connect with the interviewers on a personal level.

Prepare to Mentor

As a Staff Data Scientist, you'll be expected to mentor others. Think about how you would approach guiding less-senior team members. Prepare examples of how you've successfully mentored others in the past, and be ready to discuss your leadership style and how you foster collaboration.

Communicate Clearly

You’ll need to convey complex concepts to non-technical stakeholders, so practice explaining your work in simple terms. Use storytelling techniques to make your points relatable and engaging. This will showcase your communication skills and ability to influence decisions across teams.

Staff Data Scientist – Experimentation: Innovation & Research in London
Sony Playstation
Location: London

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