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Data Science Manager – Experimentation: Innovation & Research

Reposted 2 Days Ago
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In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
Lead a team of data scientists to innovate in experimentation and causal inference, enhancing decision-making and product strategies through evidence-based methodologies.
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Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

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. 

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.


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