Manager, Data Science, Payments & Subscriptions

Role overview Lead a data science team focused on improving payment, subscription, and payment-recovery outcomes for a digital consumer business. You will set the team’s scientific roadmap and develop its people while working directly with product, engineering, finance, marketing, and operations partners. This is a hands-on management role that combines technical review, team leadership, and contributions to selected complex analyses.

Responsibilities - Hire, onboard, coach, and develop data scientists supporting commerce, payments, subscriptions, and lifecycle work. - Set priorities, manage intake and capacity, and align stakeholders on ownership and tradeoffs. - Turn business questions into hypotheses, decision points, success measures, and plans for evaluating results. - Guide experimentation, causal analysis, forecasting, and modeling, weighing business value against customer friction, cost, and risk. - Review analytical code, data quality, experiment design, metrics, model assumptions, uncertainty, and recommendations; contribute to high-priority problems as needed. - Establish practical standards for reproducible analysis, documentation, and reusable workflows, coordinating with data and machine-learning engineering teams on dependencies. - Communicate recommendations, expected impact, confidence, limitations, and next steps to help partners make informed decisions.

Requirements - At least six years of industry experience in data science, applied statistics, machine learning, or a related quantitative field, including experimentation, causal inference, measurement, or model development. - At least two years managing people, or equivalent technical leadership with a strong record of mentoring and delivering through other practitioners. - Strong grounding in experimentation, causal inference, metric design, and decision science for digital products or consumer businesses. - Strong SQL and Python skills, with the ability to review analysis, challenge assumptions, and guide technical work. - Proven ability to prioritize cross-functional work and communicate recommendations, uncertainty, tradeoffs, and actions clearly. - Bachelor’s degree or equivalent.

Nice to have Experience in digital commerce, payments, subscriptions, billing, lifecycle products, gaming, media, or large-scale consumer technology; familiarity with experimentation platforms, trusted metric frameworks, or reusable data science tools; and experience supporting senior individual contributors’ growth.

Benefits and work setup The role is based in San Diego, California, with remote work considered in a flexible arrangement. The source lists medical, dental, and vision coverage, a matching 401(k), paid time off, a wellness program, employee product discounts, and possible bonus eligibility. It gives an estimated base pay range of $186,200–$279,200 USD.