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

原始資料於 2026-11-04T15:05:00.107399+00:00 查閱；內容可能已更新，請查看原始職位。

What We're Looking For:
Required:
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.
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.
What 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.
Why 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.