Data Scientist - Measurement, Experimentation & Causal Inference

The role

You will measure the impact of PlayStation products, features, and commercial initiatives. You will use experimentation, causal inference, and applied data science to solve complex business problems and support decision-making.

What you will do

• Apply measurement methodologies across experimentation, causal inference and advanced analytics.
• Design and execute measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference.
• Apply statistical, machine learning and AI techniques to solve measurement challenges.
• Apply advanced data science and machine learning techniques to support business decisions.
• Contribute to the development and adoption of best practices for experiment design and statistical analysis.
• Partner with product managers, engineers, analysts and business stakeholders.
• Collaborate with engineering teams to improve experimentation and measurement tooling and workflows.
• Develop reusable analytical solutions, dashboards and code.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders.
• Stay current with emerging developments in statistics, machine learning and AI.

Required qualifications

• Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline.
• 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems.
• Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches.
• Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets.
• Strong proficiency in Python and SQL for analytical workflows.
• Experience developing robust analytical solutions using sound statistical principles and software engineering best practices.
• Strong stakeholder management and communication skills.
• Curiosity, creativity and a pragmatic approach to solving ambiguous business problems.
• A collaborative mindset with a passion for continuous learning and improving analytical capabilities.

Nice to have

• PhD preferred
• 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.
• Experience developing reusable analytical frameworks, libraries or internal tooling.
• Experience presenting analytical findings and recommendations to cross-functional stakeholders.

Benefits

• 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

Before you apply

• Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles).

About the company

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. It is a dynamic technology company and an entertainment leader.