Senior Data Scientist

The role

You will drive the development of advanced modelling and analytical approaches to influence commercial and portfolio decisions. You will work with stakeholders in Finance, Strategy and Platform to understand player behaviour, product usage, and long-term value.

What you will do

• Design and deliver advanced modelling approaches to quantify player value and long-term platform value.
• Measure the incremental effect of launches, investments, and external market events.
• Build optimization and scenario models for long-range planning and investment decisions.
• Break down complex business challenges into measurable solutions.
• Partner with cross-functional teams across Finance, Strategy and Platform.
• Evaluate and select modelling approaches based on problem context.
• Mentor other data scientists and contribute to best practices.
• Communicate complex modelling approaches and outcomes to technical and non-technical audiences.

Required qualifications

• Proven industry experience delivering analytical and modelling solutions in customer value, incrementality, forecasting, or investment decisioning.
• Experience with optimization or operations research approaches, or a strong quantitative foundation.
• Strong grounding in causal inference and impact measurement.
• Experience owning projects end-to-end from definition to delivery and adoption.
• Ability to work with large, complex datasets.
• Exceptional stakeholder management and communication skills.
• Proficiency in Python and SQL.
• Comfort across the modern analytical and ML tooling ecosystem.
• Experience with PySpark or equivalent distributed data processing tools.
• Master's or PhD in operations research, machine learning, statistics, economics, or a related field.

Nice to have

• Background in gaming, e-commerce, or subscription-based businesses.
• Experience partnering with Finance or commercial functions on portfolio, investment, or impact-attribution problems.
• Industry experience with experimentation frameworks and causal inference.
• Expertise in modern machine learning approaches, including transformers, embeddings, or sequence-based models.
• Experience working in agile, fast-paced environments

Benefits

• Medical
• Dental
• Vision
• Matching 401(k)
• Paid time off
• Wellness program
• Employee discounts for Sony products
• May be eligible for a bonus package

Before you apply

• Sony Interactive Entertainment conducts background checks at the offer stage, which may include criminal background checks.

About the company

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand and a subsidiary of Sony Group Corporation. It is a dynamic technology company and entertainment leader.