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About the Role

As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features, and commercial initiatives through world-class 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 solves complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modeling, and machine learning techniques to generate robust business insights. 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.

Responsibilities

Develop innovative measurement methodologies across experimentation, causal inference, and advanced analytics.
Design robust measurement approaches across randomized experiments, quasi-experimental methods, and observational causal inference.
Research, evaluate, and prototype statistical, machine learning, and AI techniques to solve complex measurement challenges.
Apply advanced data science and machine learning techniques to complement experimentation and support complex business decisions.
Define and promote best practices for experiment design, statistical analysis, and causal measurement.
Partner closely with senior business leaders, product managers, engineers, and analysts to identify high-impact measurement opportunities.
Partner with engineering teams to influence the evolution of PlayStation's experimentation platform and measurement capabilities.
Provide technical leadership across multiple product and commercial domains.
Mentor and develop analysts and data scientists.
Champion a culture of evidence-based decision-making by educating stakeholders and sharing best practices.
Stay current with emerging developments in statistics, machine learning, and AI.
Represent the team across PlayStation, building strong partnerships and engaging senior stakeholders.

Requirements

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 modeling, 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 modeling 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.
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.
Ability to translate complex analytical concepts into clear business recommendations.
Curiosity, creativity, and a pragmatic approach to solving ambiguous, high-impact 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 visualization 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.

Skills

Experimentation
Causal Inference
Statistical Modelling
Measurement Science
A/B Testing
Quasi-experimental Methods
Observational Causal Inference
Data Science
Machine Learning
AI
Python
SQL
Databricks
Snowflake
Git
Airflow
Tableau
Domo
Power BI
Large Language Models (LLMs)

Location

Remote
Hybrid

Work Type

Hybrid Working (FlexModes)

Experience Level

Senior
Staff
5+ years industry experience

Education Level

Master's degree or equivalent industry experience
PhD preferred

Benefits

Discretionary bonus opportunity
Hybrid Working (FlexModes)
Private Medical Insurance
Dental Scheme
25 days annual leave
On-site gym
Subsidised café
Complimentary soft drinks
On-site bar
Secure cycle storage and shower facilities

About the Company

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand.
As a subsidiary of Sony Group Corporation, SIE is part of a proud legacy of innovation and excellence.
SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people.
SIE is an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world.
Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Equal Opportunity

Sony is an Equal Opportunity Employer.
All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity.
We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.