Senior Data Scientist, PlayStation

• Proven industry experience delivering impactful, decision-grade analytical and modelling solutions in areas such as customer value, incrementality, forecasting, or investment decisioning
• Experience with optimization or operations research approaches (for example resource allocation, scheduling, or constrained planning problems), or a strong quantitative foundation to pick these up quickly
• Strong grounding in causal inference and impact measurement, with the judgement to critically assess assumptions, recognise when correlation is not enough and select approaches that are proportionate to the problem being solved
• Experience owning projects end-to-end, from problem definition and selecting methods through to delivery and business adoption
• Ability to work with large, complex datasets and translate them into scalable, trustworthy solutions
• Exceptional stakeholder management and communication skills, with a track record of influencing commercial or finance partners and communicating results persuasively to both technical and non-technical audiences
• Proficiency in Python and SQL, and comfort across the modern analytical and ML tooling ecosystem; experience with PySpark or equivalent distributed data processing tools
• A strong quantitative background, typically a Master's or PhD in operations research, machine learning, statistics, economics, or a related field

Desirable

• As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence high-stakes commercial and portfolio decisions at scale
• Working closely with stakeholders across Finance, Strategy and Platform, you will work on complex and often ambiguous problems with a high degree of autonomy to shape how data informs strategy and investment decisions through a deeper understanding of player behaviour, product usage, and long-term value
• This role combines deep technical expertise with strong commercial judgement
• You will own the problem definition and approach, and success will be measured not only by the quality of your work, but by the adoption and impact on business outcomes
• Design and deliver advanced modelling approaches that quantify player value, incremental impact, and long-term platform value, applying techniques such as causal inference, forecasting, optimization and machine learning where appropriate
• Measure the incremental effect of launches, investments, and external market events, isolating true impact from what would have happened anyway, and translating that into an actionable understanding of where value is created
• Build optimization and scenario models that inform long-range planning and investment decisions under real-world constraints
• Own ambiguous problem spaces, and break down complex business challenges into tractable, measurable solutions
• Partner closely with cross-functional teams across Finance, Strategy and Platform to ensure value-driving products are robust, trusted and adopted, helping stakeholders understand how to recognise and attribute impact
• Evaluate and select modelling approaches based on problem context, balancing rigour, performance, scalability, interpretability, and business impact
• Mentor other data scientists and contribute to best practices across the team
• Communicate complex modelling approaches, assumptions and outcomes clearly to technical and non-technical audiences, including Finance leadership
• You combine technical depth with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on ambiguous, high-value problems, using data to deepen PlayStation's understanding of its players and its portfolio, and inform decisions and strategies that drive sustainable growth