23 days old

Data Scientist - PlayStation

San Diego, California
  • Jobs Rated

PlayStation isn’t just the Best Place to Play —it’s also the Best Place to Work. We’ve thrilled gamers since 1994, when we launched the original PlayStation. Today, we’re recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

Interested in working on strategic initiatives that allow for creativity and room for growth? Are you an expert in statistical analysis? Are you a strong believer in using data to drive the best business decisions? If so, read on…
SIE's Global Fraud Management (GFM) and Security Teams are the guardians of customer trust for PlayStation and the PlayStation® Network (PSN). We provide innovative solutions to support every element of the platform, various platform services, customer service teams, a diverse developer community, and more.

SIE is currently building a next generation fraud and risk platform that will support the global, fast growing PlayStation® Network customer base, world class PlayStation® consoles, hand-held devices, PlayStation® TV, and network entertainment services such as PlayStation® Vue, PlayStation® Music, PlayStation® Video and PlayStation® Now. GFM’s Data Science team is responsible for evaluating online transactions for potential fraud across this new platform. Our job is to provide quantitative assessments of all customers and identify those individuals who pose the most risk to our businesses. We are currently looking for a high-caliber individual to join our team and to help create world-class, analytic solutions aimed at minimizing risk and maximizing revenue for the company.


  • Utilize various approaches to maximize value from predictive analytics solutions. Optimize use of developed Machine-Learning algorithms in conjunction with other aspects of decision logic (rules, other models, etc.)
  • Demonstrate understanding of predictive modeling methodology that detect fraud and other ecommerce risks. Provide feedback to modelers on new features, algos, strategy, and modeling ideas.
  • Conduct robust statistical analysis to big data using hypothesis testing, design of experiment, inferential statistics, and more.
  • Improve decision performance by analyzing misclassification cases, hit rates, and customer feedback. Organize, document and simplify rule assessment.
  • Develop deep understanding of business challenges and recommend data features and functionality that can contribute to identifying risk and possible fraud.
  • Assist the Software Development and Peer team members in testing and deploying decision changes (rules, models, etc.) on the newly created platform



  • Master’s degree in Statistics, Operations Research, Machine Learning or other related fields and a minimum of 5 years’ related work experience.
  • 2+ years working with statistical modeling techniques (Regression, CHAID, Neural Networks, Cluster Analysis, RFs, XGBs, etc.).
  • 2+ years’ experience doing hands-on statistical analysis with some understanding of a statistical programming package such as SAS/SPSS/R/Python/Java/etc.

Preferred Skills

  • Proven recent, experience working with optimization, statistical analysis, machine learning or text classification algorithms.
  • Strong understanding of predictive modeling, data manipulation, data value assessment. Creation and understanding of macros for automating above mentioned processes is strongly preferred.
  • The candidate should demonstrate high energy/creativity, a passion for analyzing highly complex data sets, strong communication and project management skills, an entrepreneurial spirit, a relentless customer-focus, a practical understanding of quantitative methods, and superb attention to detail.

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation.


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San Diego, California

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