At a Glance
- Tasks: Lead a team of data scientists in innovative experimentation and causal inference.
- Company: Join PlayStation, a global leader in entertainment and gaming.
- Benefits: Inclusive culture, competitive salary, and opportunities for career growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Shape the future of gaming through data-driven decision-making and innovation.
- Qualifications: Master’s degree in a relevant field and 6+ years of data science experience.
The predicted salary is between 70000 - 90000 £ per year.
Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, 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 Data Science Manager, you will lead both people and innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. This is a hands-on leadership role blending technical depth with managerial responsibilities. You will drive cutting-edge research in experimentation methodologies while mentoring and guiding a team of data scientists. 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:
- Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship.
- Drive innovation in experimentation research by developing and overseeing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
- Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analysis capabilities.
- Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities and ensure alignment with PlayStation’s strategic goals.
- Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
- Contribute directly to research and prototyping of novel experimentation techniques that address complex real-world constraints, such as user behavior variability and data limitations.
- Champion the growth of a data-driven culture by advocating for experimentation standards, ethical practices, and reproducibility.
- Represent the team’s insights, innovations, and impact across the broader data science and product communities within PlayStation.
- Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our 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.
- 6+ years of experience in data science, including hands-on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
- 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 randomized 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.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
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.
Data Science Manager – Experimentation: Innovation & Research in London employer: PlayStation Global
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, empowering employees to thrive in their careers while contributing to groundbreaking entertainment experiences. As a Data Science Manager, you will lead a talented team in a dynamic environment that values curiosity and evidence-based decision-making, all while enjoying the unique advantages of working within a globally recognised brand at the forefront of technology and gaming.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager – 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
Prepare for the interview by diving deep into PlayStation's products and culture. Show your passion for gaming and how your experience aligns with their mission. We want to see that spark!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past work in data science and experimentation. Make it relatable and engaging – we love a good story!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the PlayStation family.
We think you need these skills to ace Data Science Manager – Experimentation: Innovation & Research in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Science Manager role. Highlight your leadership experience and any innovative projects you've led in experimentation.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to PlayStation's mission. Share specific examples of your work in experimentation and causal inference.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in SQL, R, or Python, especially in relation to causal inference and experimental analysis. We want to see how you’ve applied these skills in real-world scenarios.
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 ensure it gets into the right hands. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at PlayStation Global
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around experimentation and causal inference. Be ready to discuss specific methodologies you've used in the past and how they can apply to PlayStation's goals.
✨Show Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've guided teams in the past, focusing on fostering a culture of curiosity and innovation.
✨Understand the Gaming Industry
Familiarise yourself with current trends in the gaming industry and how data science plays a role in shaping player experiences. Being able to speak knowledgeably about the intersection of data and gaming will set you apart.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You'll need to convey insights to non-technical stakeholders, so being able to tell a compelling story with your data is crucial for success.