PlayStation
Senior Data Scientist United States, San Diego, CA
PlayStation - San Diego, California, United States, 92189
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Overview
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Overview
Senior Data Scientist
PlayStation isn't just the Best Place to Playit's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. About the Role
For over five years, SIE has been operating an innovative risk platform powered by machine learning to safeguard the expansive PlayStation Network ecosystem. Our Data Science team plays a critical role in detecting fraud risks, optimizing payment security, and enabling data-driven decisions across PlayStation's digital commerce. We're looking for a Senior Data Scientist to develop insights, design experiments, and enhance risk modeling strategies in collaboration with finance, payments, and security teams. If you're passionate about large-scale machine learning, real-time risk mitigation, and safeguarding digital transactions, we'd love to hear from you. Responsibilities:
Develop and refine fraud and risk modeling strategies , supporting standard processes for model development, deployment, and experimentation. Contribute to innovation in ML for fraud detection, real-time inference, and anomaly detection , working closely with engineering and risk teams. Design and implement A/B tests
to evaluate the impact of new product features and initiatives. Apply causal inference techniques
to assess the effectiveness of fraud detection, risk management, and user retention efforts. Analyze and optimize key business metrics
related to revenue, conversion, and engagement. Enhance experimentation frameworks , ensuring models and risk mitigation strategies are rigorously validated. Collaborate with collaborators across finance, risk, and product teams
to drive data-informed decision-making. Requirements:
Master's or Ph.D. in a quantitative field
(Computer Science, Data Science, Statistics, etc.). 5+ years of experience
in data science, ML, and fraud/risk analytics, preferably in fintech, payments, or e-commerce. Strong expertise in causal inference, anomaly detection, supervised/unsupervised learning, and real-time ML. Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn). Experience designing and analyzing A/B tests and applying causal inference techniques. Bonus:
Experience with graph-based fraud detection, deep learning for risk, or adversarial ML techniques. PlayStation fan
PlayStation isn't just the Best Place to Playit's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. About the Role
For over five years, SIE has been operating an innovative risk platform powered by machine learning to safeguard the expansive PlayStation Network ecosystem. Our Data Science team plays a critical role in detecting fraud risks, optimizing payment security, and enabling data-driven decisions across PlayStation's digital commerce. We're looking for a Senior Data Scientist to develop insights, design experiments, and enhance risk modeling strategies in collaboration with finance, payments, and security teams. If you're passionate about large-scale machine learning, real-time risk mitigation, and safeguarding digital transactions, we'd love to hear from you. Responsibilities:
Develop and refine fraud and risk modeling strategies , supporting standard processes for model development, deployment, and experimentation. Contribute to innovation in ML for fraud detection, real-time inference, and anomaly detection , working closely with engineering and risk teams. Design and implement A/B tests
to evaluate the impact of new product features and initiatives. Apply causal inference techniques
to assess the effectiveness of fraud detection, risk management, and user retention efforts. Analyze and optimize key business metrics
related to revenue, conversion, and engagement. Enhance experimentation frameworks , ensuring models and risk mitigation strategies are rigorously validated. Collaborate with collaborators across finance, risk, and product teams
to drive data-informed decision-making. Requirements:
Master's or Ph.D. in a quantitative field
(Computer Science, Data Science, Statistics, etc.). 5+ years of experience
in data science, ML, and fraud/risk analytics, preferably in fintech, payments, or e-commerce. Strong expertise in causal inference, anomaly detection, supervised/unsupervised learning, and real-time ML. Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn). Experience designing and analyzing A/B tests and applying causal inference techniques. Bonus:
Experience with graph-based fraud detection, deep learning for risk, or adversarial ML techniques. PlayStation fan