Data Scientist - Measurement, Experimentation & Causal Inference
Core
Measure the impact of PlayStation's products, features, and commercial initiatives through experimentation, causal inference, and applied data science to support evidence-based decision-making.
Role type
Senior IC data scientist (measurement, experimentation, causal inference)
Builds
High-quality measurement frameworks, robust analytical solutions, and reusable dashboards for product and commercial teams
Domain
Gaming / Consumer Technology / Digital Products
Deliverable
production ML models | dashboards & analysis
Required skills
Causal inference, experimental design, statistical modelling, Python, SQL, machine learning, data analysis, software engineering best practices
Preferred skills
LLMs, data engineering tooling, business intelligence tools, reusable analytical frameworks
Technologies
Python, SQL, Databricks, Snowflake, Git, Airflow, Tableau, Domo, Power BI
Responsibilities
Design and execute robust measurement approaches including randomised experiments and quasi-experimental methods; apply statistical and ML techniques to solve complex measurement challenges; develop reusable analytical solutions and dashboards; partner with product and engineering teams to identify high-impact measurement opportunities; contribute to best practices for experiment design and causal measurement
Seniority
Senior, hands-on IC
