Senior/Staff Data Scientist - Measurement, Experimentation & Causal Inference

01Why 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.

02Role Overview

As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science.

Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation to make faster, more confident business decisions.

This role goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation.

This is an opportunity to influence strategic decisions impacting millions of PlayStation players while helping establish best-in-class measurement practices across one of the world's leading entertainment companies.

03What You'll Be Doing

• Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation.
• Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical.
• Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges.
• Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions.
• Define and promote best practices for experiment design, statistical analysis and causal measurement across multiple product and business teams, helping scale experimentation across PlayStation.
• Partner closely with senior business leaders, product managers, engineers and analysts to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence.
• Partner with engineering teams to influence the evolution of PlayStation's experimentation platform and measurement capabilities, ensuring statistical best practices are embedded into future platform development.
• Provide technical leadership across multiple product and commercial domains, influencing measurement strategy, analytical standards and long-term technical direction through expertise and collaboration.
• Mentor and develop analysts and data scientists, helping raise technical capability and analytical excellence across the team.
• Champion a culture of evidence-based decision-making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science.
• Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows.
• Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders, and promoting technical excellence in data science and experimentation.

04Required

• Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred.
• Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems.
• Deep expertise in experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches.
• Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems.
• Expert-level proficiency in Python and SQL for large-scale analytical workflows.
• Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams.
• Demonstrated ability to influence technical direction, promote best practices and drive adoption through collaboration, technical leadership and senior stakeholder engagement.
• Strong stakeholder management, executive communication and influencing skills, with the ability to translate complex analytical concepts into clear business recommendations for both technical and non-technical audiences.
• Curiosity, creativity and a pragmatic approach to solving ambiguous, high-impact business problems.

05Preferred

• Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses.
• Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow.
• Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI.
• Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity.
• Demonstrated technical leadership through mentoring, publications, conference presentations, open-source contributions or internal communities of practice.

06What You'll Influence

• Measurement strategy for PlayStation's largest product and commercial initiatives.
• Experimentation best practices adopted across multiple business functions.
• Strategic product and commercial decisions through rigorous causal evidence.
• The evolution of PlayStation's measurement and experimentation capabilities.
• Technical excellence in experimentation, causal inference and applied data science across the organisation.

07Why You'll Love This Role

• Shape how PlayStation measures product and commercial success across a global business.
• Influence strategic decisions affecting millions of players worldwide.
• Solve challenging real-world problems using cutting-edge experimentation, causal inference and machine learning techniques.
• Collaborate with talented scientists, engineers and product leaders on high-impact initiatives.
• Drive the adoption of best practices in experimentation and evidence-based decision-making across PlayStation.
• Continue developing your technical expertise while mentoring and growing others.

08Benefits

• Discretionary bonus opportunity
• Hybrid Working (FlexModes)
• Private Medical Insurance
• Dental Scheme
• 25 days annual leave
• On-site gym
• Subsidised café
• Complimentary soft drinks
• On-site bar
• Secure cycle storage and shower facilities

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 (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

09Equal 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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