Manager, Data Science, Payments & Subscriptions

The role

You will lead a team of data scientists to improve how players pay, subscribe, and recover from payment failures. You will own the scientific roadmap and partner with product, engineering, finance, marketing, and operations teams.

What you will do

• Lead, hire, onboard, and develop a team of data scientists.
• Own the team's roadmap, intake, prioritization, capacity planning, and stakeholder alignment.
• Partner with business and technical leaders to define decisions, hypotheses, success metrics, and recommendations.
• Guide experimentation, causal inference, forecasting, and modeling work.
• Review experiment designs, analytical code, data quality, metric definitions, and model assumptions.
• Contribute directly to selected high-priority or technically complex problems.
• Coach data scientists to strengthen scientific judgment, stakeholder influence, and communication.
• Set practical standards for reproducible analysis, documentation, and reusable workflows.
• Communicate recommendations, expected impact, confidence, limitations, and next actions.

Required qualifications

• 6+ years of industry experience in data science, applied statistics, machine learning, or a related quantitative field, including work in experimentation, causal inference, measurement, or model devel
• 2+ years of people management experience, or equivalent experience in formal technical leadership.
• Strong background in experimentation, causal inference, metric design, and decision science for digital products or consumer businesses.
• Deep fluency with SQL and Python.
• Proven ability to prioritize cross-functional work and communicate clear recommendations, confidence levels, tradeoffs, and next actions.
• Bachelor's degree or equivalent

Nice to have

• Experience in digital commerce, payments, subscriptions, billing, lifecycle, gaming, media, or scaled consumer technology businesses.
• Experience with experimentation platforms, trusted metric frameworks, or reusable data science tooling.
• Experience managing senior individual contributors or helping data scientists expand scope, influence, and technical leadership.
• Familiarity with payment optimization, subscription lifecycle analytics, subscription recovery, payment method selection, pricing or offer measurement, forecasting, or customer retention modeling.
• Experience evaluating and improving AI-assisted analytical workflows.

Benefits

• medical
• dental
• vision
• matching 401(k)
• paid time off
• wellness program
• employee discounts for Sony products
• bonus package

Before you apply

• Sony Interactive Entertainment conducts background checks at the offer stage (which may include criminal background checks).

About the company

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand and a subsidiary of Sony Group Corporation. It is a dynamic technology company and an entertainment leader.