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

The role

You will develop measurement methodologies using experimentation, causal inference, and applied data science. You will work at the intersection of data science, machine learning, product, and commercial strategy to influence PlayStation business decisions.

What you will do

• Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics.
• Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference.
• Research, evaluate and prototype statistical, machine learning and AI techniques.
• Apply advanced data science and machine learning techniques to support complex business decisions.
• Define and promote best practices for experiment design, statistical analysis and causal measurement.
• Partner with senior business leaders, product managers, engineers and analysts.
• Partner with engineering teams to influence the evolution of PlayStation's experimentation platform.
• Provide technical leadership across multiple product and commercial domains.
• Mentor and develop analysts and data scientists.
• Champion a culture of evidence-based decision-making.

Required qualifications

• Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline.
• 5+ years industry experience applying experimentation, causal inference, statistical modelling and measurement science.
• 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.
• Expert-level proficiency in Python and SQL for large-scale analytical workflows.
• Experience developing reusable analytical methodologies, frameworks or libraries.
• Demonstrated ability to influence technical direction and drive adoption through collaboration and senior stakeholder engagement.
• Strong stakeholder management, executive communication and influencing skills.
• Curiosity, creativity and a pragmatic approach to solving ambiguous, high-impact business problems.

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.
• Demonstrated technical leadership through mentoring, publications, conference presentations, open-source contributions or internal communities of practice.

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.