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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 PlayStation’s 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.

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 data, validate assumptions, 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.

Requirements

3+ years of professional experience in data science or machine learning
Bachelor's degree in statistics, mathematics, computer science, engineering, data science, or a related quantitative field or 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.
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, Spark, BigQuery, or similar platforms, and familiarity with metric layers or source-of-truth datasets.

Skills

SQL
Python
Statistics
Machine Learning
Experimental Design
Predictive Modeling
Data Science Methods
Data Extraction
Data Validation
Analysis
Modeling
Reproducible Workflows
Forecasting
Segmentation
Propensity
Retention
Payment Optimization
Subscription Outcomes
Offer Performance
Digital Commerce
Payments
Billing
Subscriptions
Fintech
Marketplaces
Gaming
Media
Scaled Consumer Technology
Payment Method Performance
Authorization Analysis
Success-Rate Analysis
Payment Optimization
Routing Strategies
Retry Strategies
Cost Analysis
Payment Telemetry
Subscription Recovery
A/B Tests
Holdouts
Quasi-experimental Approaches
Causal Inference
Churn Modeling
Offer Measurement
Payment Success Modeling
Subscription Lifecycle Analytics
ROI-based Business Evaluation
Snowflake
Databricks
Spark
BigQuery

Location

San Diego, CA

Work Type

Hybrid

Experience Level

3+ years of professional experience

Education Level

Bachelor's degree in statistics, mathematics, computer science, engineering, data science, or a related quantitative field or equivalent

Salary/Compensations

$143,400—$215,000 USD

Benefits

Medical
Dental
Vision
Matching 401(k)
Paid time off
Wellness program
Employee discounts for Sony products
Bonus package

About the Company

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand.
As a subsidiary of Sony Group Corporation, we’re 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.

Equal Opportunity

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.