PlayStation
DataScientist,D2CDataScience
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist, D2C Data Science at PlayStation. Skills: Data Science, Machine Learning, Experimentation, Data Judgment. Apply data science methods to high-impact questions across. Design, analyze, and interpret A tests, holdouts, quasi-experimental”
What You'll Achieve.
Improve customer experience; Improve business performance; Make better decisions
Industry & Context.
Data judgment; Work through ambiguity
What They're Looking For.
Must Have
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, 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
Nice to Have
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 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
What You'll Do.
Apply data science methods to high-impact questions across
and interpret A tests
Analyze payment and subscription outcomes such as payment
Build statistical and machine learning models for forecasting
Use SQL and Python to prepare data
Communicate findings with clear recommendations
How You'll Work.
Team & Collaboration
Partner with product; Partner with engineering; Partner with finance; Partner with marketing; Partner with operations; Partner with data engineering
Communication Scope
Communicate technical findings; Clear recommendations; Reusable documentation
Full Job Description
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. 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. 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 PlayStation’s 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 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. The initial portfolio 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
Applying for this Data Scientist, D2C Data Science role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about PlayStation?
Real rants from real employees. Read before you apply.