Manager, Data Science, Payments & Subscriptions
About The Position
Sony Interactive Entertainment is hiring a Data Science Manager for its Direct to Consumer Data Science organization, which combines Data Science, Data Engineering, and ML Engineering to support PlayStation’s digital business. The manager will lead a focused team improving how players pay, subscribe, and recover from payment failures, owning the team’s scientific roadmap and developing data scientists while partnering with product, engineering, finance, marketing, and operations. This is a technically engaged first-line management role. The manager will review experiment designs, metrics, models, analytical code, and recommendations, help the team reason through uncertainty and business tradeoffs, and contribute directly to selected complex problems. The initial portfolio covers payment method performance, payment acceptance, routing and retry strategies, subscription recovery, and measurement of experiments and lifecycle interventions. The role will help partners assess incremental value, customer friction, processing and operational costs, and risk guardrails. Scope may expand to adjacent D2C business areas as priorities evolve.
Requirements
- 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 development.
- 2+ years of people management experience, or equivalent formal technical leadership experience with a strong track record of mentoring, coaching, and driving outcomes through other data scientists or machine learning practitioners.
- Strong background in experimentation, causal inference, metric design, and decision science for digital products or consumer businesses.
- Deep fluency with SQL and Python, with technical depth to review analytical code, challenge assumptions, guide experiment and model design, and contribute directly to complex analyses.
- Proven ability to prioritize cross-functional work and communicate clear recommendations, confidence levels, tradeoffs, and next actions.
- Bachelor’s degree or equivalent.
Nice To Haves
- 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 that improves consistency and decision quality.
- 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, including validating outputs and preserving reproducibility and appropriate data handling.
Responsibilities
- Lead, hire, onboard, and develop a team of data scientists supporting a commerce, payments, subscriptions, and lifecycle portfolio.
- Own the team’s roadmap, intake, prioritization, capacity planning, and stakeholder alignment; clarify ownership and tradeoffs.
- Partner with business and technical leaders to define decisions, hypotheses, success metrics, measurement plans, and recommendations.
- Guide experimentation, causal inference, forecasting, and modeling work to improve payment and subscription decisions, evaluating business value alongside customer experience, costs, and risk guardrails.
- Review experiment designs, analytical code, data quality, metric definitions, model assumptions, uncertainty, and recommendations.
- Contribute directly to selected high-priority or technically complex problems.
- Coach data scientists in scientific judgment, stakeholder influence, and communication; build independent ownership through delegation, constructive review, and clear expectations.
- Set practical standards for reproducible analysis, documentation, reusable workflows, and communication of results.
- Partner with Data Engineering and ML Engineering to address data and implementation dependencies.
- Communicate recommendations, expected impact, confidence, limitations, and next actions so partners can make informed decisions and evaluate outcomes.
Benefits
- Medical, dental, and vision benefits.
- Matching 401(k).
- Paid time off.
- Wellness program.
- Employee discounts for Sony products.
- The role may be eligible for a bonus package.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
