Data Science Manager – Experimentation: Innovation & Research United Kingdom, London

PlayStation
London
3 weeks ago
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Data Science Manager – Experimentation: Innovation & Research

United Kingdom, London

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 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.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

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.

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.

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Thank you so much for considering a role with us! Should this position not be the perfect fit right now, we would be excited about the chance to explore future opportunities with you. By selecting "Yes," you’ll allow us to keep your details on file for the next 24 months. This means we can reach out to you about other exciting roles that may fit your skills and interests as they come up. We’re eager to stay connected!

We take your privacy seriously and will ensure your information is securely stored and used only for recruitment purposes, as outlined in our (Candidate Privacy Notice ). Please take a moment to review it for more details.

UK Diversity & Inclusion - Voluntary Equal Opportunity Monitoring

Sony Interactive Entertainment Europe Limited (‘SIEE’) is committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Collecting diversity data is intended to help SIEE maintain equal opportunities best practice and identify barriers to workforce equality and diversity. Please read this notification and consent before you decide whether to submit your diversity data in the survey below.

SIEE will treat all survey responses in the strictest confidence, and our personnel with decision-making role in the recruitment process can only see aggregated reports on the results of the survey and cannot allocate these aggregated reports to individual applicants. There is no obligation on you to provide diversity data, SIEE will treat all applicants the same regardless of whether they provide diversity data or not, and any responses to the survey will not affect our decision on your application.

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