Data Scientist, D2C Data Science

Why Sony Interactive Entertainment

Sony Interactive Entertainment isnt just the Best Place to Play its also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation were part of a proud legacy of innovation and excellence. SIE is a dynamic technology company delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand a name synonymous with entertainment excellence and creativity.

Data Scientist D2C Data Science

San Diego CA (Hybrd)

About the Team

The Direct to Consumer (D2C) Data Science organization brings together Data Science Data Engineering and ML Engineering to support PlayStations digital business across commerce payments subscriptions lifecycle experiences and player-facing services. We partner closely with product engineering finance marketing operations and data teams to turn experimentation forecasting modeling and production-quality measurement into better decisions and better player experiences.

About The Role

We are looking for a Data Scientist to join a focused team within D2C Data Science supporting payment and subscription experiences across PlayStations direct-to-consumer business. This is a hands-on role for someone who can use statistics machine learning experimentation and strong data judgment to help teams make better decisions about how players pay subscribe and move through global payment flows.

Theinitialportfolio is expected to focus on payment method performance payment flow optimization subscription payment recovery and ROI-based evaluation of experiments and business interventions. You will help teams understand customer behavior payment success cost and routing tradeoffs and the business impact of new payment capabilities.

Our team values practical scientific rigor: clear decision framing trusted reusable metrics transparent uncertainty and recommendations that help teams move faster without sacrificing measurement quality. This role is best suited for someone who can independently own well-scoped analyses and models work through ambiguity and translate complex data into recommendations that improve customer experience and business performance.

Responsibilities

• Apply data science methods to high-impact questions across D2C payments subscriptions commerce lifecycle and player experience.
• Design analyze and interpret A/B tests holdouts quasi-experimental analyses and other measurement approaches with clear hypotheses metrics and decision criteria.
• Analyze payment and subscription outcomes such as payment success authorization performance payment funnel behavior routing or retry performance cost tradeoffs and subscription recovery.
• Build statistical and machine learning models for forecasting segmentation propensity retention payment success payment optimization subscription outcomes or offer performance.
• Use SQL and Python to prepare datavalidateassumptions analyze behavior and produce reproducible analytical workflows.
• Partner with product engineering finance marketing operations and data engineering teams to ensure analyses are technically sound actionable and operationally useful.
• Communicate findings with clear recommendations confidence levels caveats tradeoffs next steps and reusable documentation that supports better decision-making.

Basic Qualifications

• 3 years of professional experience in data science or machine learning
• Bachelors degree in statistics mathematics computer science engineering data science or a related quantitative fieldor equivalent
• Strong SQL and Python skills for data extraction data validation analysis modeling and reproducible workflows.
• Solid foundation in statistics experimental design machine learning predictive modeling.
• Experience applying data science methods to ambiguous commercial customer payment subscription or operational problems.
• Ability to communicate technical findings clearly to technical and non-technical partners.

Preferred Qualifications

• Experience with digital commerce payments billing subscriptions fintech marketplaces gaming media or scaled consumer technology businesses.
• Experience with payment method performance authorization or success-rate analysis payment optimization routing or retry strategies cost analysis payment telemetry or subscription recovery.
• Experience designing running or analyzing experiments including A/B tests holdouts quasi-experimental approaches or causal inference methods.
• Experience with forecasting customer segmentation churn / retention modeling offer measurement payment success modeling subscription lifecycle analytics or ROI-based business evaluation.
• Experience working with large-scale data environments such as Snowflake Databricks SparkBigQuery or similar platforms and familiarity with metric layers or source-of-truth datasets.

Please note Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

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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 maternity or parental status 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.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.