Senior Data Scientist

At Sony Interactive Entertainment (SIE) - better known as PlayStation - we power billions of digital transactions for millions of gamers across the globe. Behind every seamless store interaction is a network of systems designed for trust, security, and scale.

The Store Publishing Operations & Commerce (SPOC) team sits at the heart of this ecosystem. Our mission is to deliver safe, frictionless experiences across PlayStation's digital storefront by blending machine learning, real-time analytics, and risk management. We tackle fraud, optimize payment flows, and protect the integrity of our platform-all while enabling the business to grow and players to thrive. You will be part of a team that's pioneering the future of safe digital commerce. You'll have the autonomy to solve challenging problems, the backing of a globally recognized brand, and the opportunity to make an impact at scale.

We're looking for a Senior Data Scientist with a strong background in fraud detection and risk analytics, ideally in tech, e-commerce, or digital payments. In this role, you'll work at the intersection of data science, finance, and security, using advanced ML to uncover fraud patterns, assess risk, and build real-time defenses that scale across our global network.

This is more than a modeling role-you'll shape our fraud prevention strategy, design robust experiments, and partner with engineering, payments, and compliance teams to drive innovation across the digital commerce stack.

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  Lead the development of fraud and risk detection models, from ideation through deployment, using supervised, unsupervised, and anomaly detection techniques.

  
  
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  Build real-time machine learning solutions that mitigate fraud at scale and continuously adapt to emerging threat patterns.

  
  
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  Collaborate with engineering and risk partners to improve real-time inference infrastructure and signal quality.

  
  
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  Design and execute A/B tests and causal inference studies to validate product and risk mitigation strategies.

  
  
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  Analyze transaction data to identify behavioral trends and optimize business metrics (e.g., conversion, chargebacks, false positives).

  
  
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  Improve experimentation frameworks and build tools to evaluate model impact rigorously and transparently.

  
  
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  Serve as a strategic thought partner to finance, security, and product leaders, translating complex data into clear, actionable insights.

  
  

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  Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field.

  
  
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  5+ years of experience in data science and machine learning, with a strong focus on fraud detection, risk modeling, or trust & safety.

  
  
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  Deep fluency in causal inference, anomaly detection, supervised/unsupervised learning, and real-time modeling.

  
  
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  Proficient in Python (Pandas, NumPy, Scikit-learn) and SQL for large-scale data analysis and model development.

  
  
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  Proven track record of designing and interpreting controlled experiments and A/B tests in production environments.

  
  
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  Strong communication skills and ability to translate data science solutions to non-technical stakeholders.

  
  

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  Experience with graph-based fraud detection, deep learning for risk, or adversarial ML.

  
  
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  Prior work in payments, fintech, or high-volume e-commerce environments.

  
  
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  Passion for PlayStation and the gaming industry.