Data Scientist

Job Description

Why PlayStation?

Position: Sr. Data Scientist

Location: San Diego, CA

Sony Interactive Entertainment's (SIE) Global Payments and Fraud Management (GPFM) teams are the guardians of both customer trust and purchase success for PlayStation and the PlayStation® Network (PSN). We provide innovative solutions to support every element of the network, various platform services, customer service teams, a diverse developer community, and more.

SIE has just launched a next-generation risk platform and machine learning framework that support the global, fast growing PlayStation® Network customer base, world class PlayStation® consoles, and network entertainment services such as PlayStation® Now. In doing so, the ability to extract information from data and drive actions that help achieve business goals is essential. GPFM's Data Science team is responsible for evaluating online user activity data 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 Sr. Data Scientist to join our team to demonstrate the benefits of being data driven for the Global Fraud Management, Global Payments, and Account Security Teams.

Responsibilities
• The candidate will exemplify leadership skills including, but not limited to, exploring new, groundbreaking statistical techniques, serving as a go-to person for both immediate team and external partners, and helping oversee the quality of Data Science work.
• Apply sophisticated techniques to improve value from Data Science solutions. Optimize use of developed Machine-Learning algorithms in conjunction with other aspects of decision logic (rules, other models, etc.)
• Conduct robust statistical analysis of big data using hypothesis testing, design of experiments, inferential statistics, and more.
• Improve decision performance by analyzing misclassification cases, hit rates, and customer feedback. Prioritize, document, and simplify rule assessment.
• Education support of the immediate team as well as external partners on the importance and benefit of using analytics. This should entail proactively sharing results, presenting new models as well as demonstrating constant monitoring of current ones.
• Be a SME and Product Owner for various aspects of the Data Science set of solutions.
• Assist in the ramping up of new team members including decision platform training, business overview, and providing documentation needed to minimize the learning curve of the new role.

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

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.
• Experience illustrating self-sufficiency on complex projects with ability to drive tasks to completion.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership 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.

Jobcode: Reference SBJ-gqnw1z-52-15-63-145-42 in your application.