Manager, Data Science, Payments & Subscriptions

Location: United States, San Diego, CA; remote considered in flex mode

Base pay: $186,200–$279,200 USD annually; bonus eligibility may apply.

Company

hirify.global develops PlayStation hardware, network services, digital commerce, subscriptions, payments, and player-facing entertainment experiences.

What you will do

• Lead, hire, onboard, coach, and develop a team of data scientists supporting commerce, payments, subscriptions, and lifecycle initiatives.
• Own roadmap planning, intake, prioritization, capacity planning, and stakeholder alignment.
• Define decisions, hypotheses, success metrics, measurement plans, and recommendations with product, engineering, finance, marketing, and operations partners.
• Guide experimentation, causal inference, forecasting, and modeling related to payment acceptance, payment methods, routing, retries, subscription recovery, and lifecycle interventions.
• Review experiment designs, analytical code, data quality, metric definitions, model assumptions, uncertainty, and recommendations; contribute to technically complex analyses.
• Establish standards for reproducible analysis, documentation, reusable workflows, and clear communication of impact, limitations, confidence, and next actions.

Requirements

• 6+ years of industry experience in data science, applied statistics, machine learning, or a related quantitative field, including experimentation, causal inference, measurement, or model development.
• 2+ years of people management experience, or equivalent formal technical leadership with a strong record of mentoring, coaching, and driving outcomes through 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 the technical depth to review analytical code, challenge assumptions, guide experiment and model design, and contribute to complex analyses.
• Ability to prioritize cross-functional work and communicate recommendations, confidence levels, tradeoffs, and next actions clearly.
• Bachelor’s degree or equivalent.

Nice to have

• Experience in digital commerce, payments, subscriptions, billing, lifecycle, gaming, media, or scaled consumer technology.
• Experience with experimentation platforms, trusted metric frameworks, or reusable data science tooling.
• Experience managing senior individual contributors or expanding data scientists’ 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 AI-assisted analytical workflows, validating outputs, and preserving reproducibility and appropriate data handling.

Culture & Benefits

• Flex-mode working policy with remote work considered.
• Medical, dental, and vision coverage.
• Matching 401(k), paid time off, and wellness program.
• Employee discounts on Sony products and potential bonus eligibility.
• Background checks are conducted at the offer stage for new employees.