Data Scientist (Measurement, Experimentation & Causal Inference)

Join PlayStation as a Data Scientist, where you will measure the impact of products, features, and commercial initiatives through experimentation, causal inference, and applied data science. You will work at the intersection of data science, machine learning, product, and commercial strategy, applying robust analytical techniques to solve complex business problems and generate actionable insights. This role goes beyond traditional A/B testing, requiring modern causal inference, statistical modeling, and machine learning techniques. You will collaborate closely with product, engineering, analytics, and business teams to deliver high-quality measurement and insights.

• Contribuer à la mesure de l'impact des produits et initiatives de PlayStation à travers l'expérimentation, l'inférence causale et la science des données appliquée.
• Appliquer des techniques analytiques robustes pour résoudre des problèmes commerciaux complexes, générer des insights exploitables et soutenir la prise de décision basée sur des preuves.
• Collaborer étroitement avec les équipes produit, d'ingénierie, d'analytique et commerciales pour concevoir et exécuter des approches de mesure robustes.
• Strong stakeholder management and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences
• Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred
• Strong proficiency in Python and SQL for analytical workflows
• 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
• 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems
• A collaborative mindset with a passion for continuous learning and improving analytical capabilities
• Experience developing robust analytical solutions using sound statistical principles and software engineering best practices
• Curiosity, creativity and a pragmatic approach to solving ambiguous business problems
• 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