Senior/Staff Data Scientist (Measurement, Experimentation & Causal Inference)

Join PlayStation as a Senior/Staff Data Scientist, where you will shape the measurement of product impact through experimentation, causal inference, and applied data science. You will develop innovative measurement methodologies, define best practices, and provide technical leadership to enable faster, more confident business decisions. This role goes beyond traditional A/B testing and involves solving complex measurement problems using modern causal inference, statistical modeling, and machine learning techniques. You will collaborate closely with product, engineering, analytics, and business teams to raise the standard of experimentation and evidence-based decision-making across the organization.

• Develop innovative measurement methodologies across experimentation, causal inference, and advanced analytics to improve decision-making.
• Design robust measurement approaches across randomized experiments, quasi-experimental methods, and observational causal inference.
• Partner closely with senior business leaders, product managers, engineers, and analysts to identify high-impact measurement opportunities.
• Expert-level proficiency in Python and SQL for large-scale analytical workflows
• 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
• Demonstrated ability to influence technical direction, promote best practices and drive adoption through collaboration, technical leadership and senior stakeholder engagement
• Curiosity, creativity and a pragmatic approach to solving ambiguous, high-impact business problems
• Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred
• 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
• Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams
• Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems
• Demonstrated technical leadership through mentoring, publications, conference presentations, open-source contributions or internal communities of practice
• Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity
• Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI
• Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow
• Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses