Senior Data Scientist

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the Play Station brand. As a subsidiary of Sony Group Corporation, we’re 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 and 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 Play Station brand, a name synonymous with entertainment excellence and creativity.

At Play Station, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. Our Player Value Science team turns understanding of value mechanics into incrementality: we explain what drives value, where it is created or missed, and what to change, so growth can be created and protected.

As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence high‑stakes commercial and portfolio decisions king 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 Play Station’s understanding of its players and its portfolio, and inform decisions and strategies that drive sustainable growth.

• Proven industry experience delivering impactful, decision‑grade analytical and modelling solutions in areas such as customer value, incrementality, forecasting, or investment decisioning.
• Experience with optimisation 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…