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.
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 and generate actionable insights.
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, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
Curiosity, creativity and a pragmatic approach to solving ambiguous business problems.
A collaborative mindset with a passion for continuous learning and improving analytical capabilities.
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.
What You'll Influence:
Measurement for PlayStation's product and commercial initiatives.
High-quality experimentation and causal inference across product and business teams.
Product and commercial decisions through rigorous analytical evidence.
The continued evolution of PlayStation's measurement and experimentation capabilities.
Why You'll Love This Role:
Help shape how PlayStation measures product and commercial success across a global business.
Work on challenging real-world problems using experimentation, causal inference and machine learning.
Collaborate with talented scientists, engineers and product teams on high-impact initiatives.
Learn from experienced data scientists while developing your expertise in modern measurement and experimentation.
Contribute to the adoption of evidence-based decision-making across PlayStation.
Continue growing your technical and business skills in a collaborative, supportive environment.