Senior Data Scientist

Join the Sony Engagement Platform Services (SEPS) Team, where innovation meets collaboration in the dynamic world of digital engagement. At SEPS, we are building the next-generation platform that powers how fans connect with the content—and the creators—they love. Our mission is to unlock meaningful, data-driven engagement across Sony’s entertainment ecosystem, from games and anime to music, film, and live experiences—empowering both internal teams and external partners to build at scale. Our mission is to create a world-class engagement platform that not only enhances existing revenue streams but also drives new opportunities through a robust ecosystem of partners and creators. By decoupling application development from platform services, we empower our teams to deliver exceptional solutions with agility and efficiency. If you are passionate about shaping the future of digital engagement and want to be part of a vibrant community that values creativity and collaboration, we invite you to explore the exciting opportunities within our team. Together, we will shape the future of fan experiences and define the foundation for what’s possible in the realm of engagement. To learn more visit: www.sony.com/en/SonyInfo/technology/stories/entries/sep_introduction/

POSITION SUMMARY

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.

JOB RESPONSIBILITIES

• 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

QUALIFICATIONS FOR POSITION

Your qualifications and experience should include:

• 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.

• Provide technical leadership through mentorship, peer review, methodology development, and cross-functional guidance without direct people-management responsibility.

We are committed to creating an inclusive employee experience for you to thrive as part of Sony’s purpose to “fill the world with emotion through the power of creativity and technology.”

Benefits:

SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well-being.

What we offer you:

• Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA)

• Employee assistance plan and comprehensive behavioral health benefits

• Fertility benefits, including, surrogacy, and adoption assistance programs

• Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children

• Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance

• Short-term & long-term disability plans

• Up to 12 weeks of paid parental and caregiver leave

• 401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting

• Education assistance and student loan programs

Other Programs:

• Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year’s Day (based on business needs)

• Referral bonuses (subject to eligibility)

• Matching gift program

• A wide variety of employee business resource groups (EBRGs)

• Special discounts on Sony products, offered exclusively to Sony employees

• Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions)

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.

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SCA will consider qualified applicants with arrest or conviction records in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

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