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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Sony USA Foundation Inc - **Location:** San Diego, CA, United States - **Experience:** Expert - **Salary:** $180,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** BigQuery, Digital Content, Payment Systems, Python (Programming Language), Machine Learning, Process Driven Development, Sql Optimization, Snowflake, Apache Spark, Model Validation, Databricks - **Published:** September 30, 2026 - **Apply:** https://sonyglobal.wd1.myworkdayjobs.com/SonyGlobalCareers/job/San-Diego/Senior-Data-Scientist_JR-119686 ## About the Role * 5+ years of professional experience in data science, applied statistics, machine learning, or a related quantitative discipline. * Bachelor's or advanced degree in a quantitative field, or equivalent practical experience. * Advanced SQL and Python skills with deep expertise in experimentation, causal inference, statistical modeling, machine learning, and model evaluation. * Demonstrated success leading complex data science initiatives from problem framing through operationalization and impact measurement. * Proven ability to influence senior technical and business stakeholders and elevate data science practices across teams. Preferred Qualifications * Advanced degree in quantitative field. * Experience in payments, subscriptions, digital commerce, fintech, gaming, media, marketplaces, or scaled consumer technology. * Deep expertise in experimentation, payment optimization, subscription analytics, forecasting, segmentation, churn, retention, or customer lifetime value. * Experience operationalizing models and working with large-scale platforms such as Snowflake, Databricks, Spark, or BigQuery. * Experience creating metric layers, source-of-truth datasets, analytical frameworks, or reusable data science tooling. * Lead high-impact data science initiatives across payments, subscriptions, commerce, fraud, risk, and player experience, translating ambiguous business needs into analytical strategies. * Define experimental, causal-inference, statistical-modeling, and machine-learning approaches for complex decisions with broad business impact. * Develop scalable models, measurement frameworks, and reusable analytical capabilities while setting standards for rigor, validation, and reproducibility. * Influence product and business roadmaps by advising senior stakeholders on opportunities, risks, investment tradeoffs, and expected outcomes., The anticipated annual base salary for this position is $180,000 to $205,000. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. ## Description We are looking for a Senior Data Scientist to join a focused team within SEPS Data Science supporting payment, subscription, and risk 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. This role will be working closely with the Sony Interactive Entertainment (SIE) Global Payments Team that plays a central role in enabling consumers across the world to purchase hardware, digital content and services. 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 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 lead ambiguous, high-impact data science initiatives, define analytical direction across multiple workstreams, and translate complex evidence into decisions that shape customer experience and business strategy., * Lead high-impact data science initiatives across payments, subscriptions, commerce, fraud, risk, and player experience, translating ambiguous business needs into analytical strategies. * Define experimental, causal-inference, statistical-modeling, and machine-learning approaches for complex decisions with broad business impact. * Develop scalable models, measurement frameworks, and reusable analytical capabilities while setting standards for rigor, validation, and reproducibility. * Influence product and business roadmaps by advising senior stakeholders on opportunities, risks, investment tradeoffs, and expected outcomes. * Provide technical leadership through mentorship, peer review, methodology development, and cross-functional guidance without direct people-management responsibility. * Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Data Driven HR in Europe](https://www.wearedevelopers.com/videos/1489-data-driven-hr-in-europe) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)