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MoonPay is building the operating system for value movement—crypto, stablecoins, tokenized assets, and emerging payment infrastructure. The company serves 30M+ customers and 500+ ecosystem partners, with regulatory licenses across the US, UK, EU, Canada, and Australia.
As Staff Pricing Data Scientist, you will own pricing strategy and analytics across MoonPay's four core offerings: fund, tokenize, trade, and spend. This is a high-impact individual contributor role with company-wide technical scope. You'll drive data-driven pricing decisions, build predictive models for market dynamics, and partner with product, finance, and business development teams to optimize revenue and customer acquisition.
The role emphasizes outcomes over process, real ownership, and solving hard problems. AI is embedded in the operating mode—you'll use AI tools daily to accelerate analysis and focus on strategic work. You'll work in a high-velocity, high-accountability environment where impact and winning matter more than titles.
MoonPay values builders who thrive on hard problems, real ownership, and collaborative teams. The company has been recognized as one of Forbes' America's Best Startup Employers 2026, ranked 2nd in Crypto Services on Fortune's inaugural Crypto 100, and named a Sunday Times Best Place to Work two years running.
The hybrid schedule allows flexibility between remote work and the New York office. The company offers competitive equity packages, pay-for-performance bonuses, enhanced parental leave, private healthcare, wellness memberships, enterprise AI tool access, and $1,000 annual training budget.
Requirements: The posting indicates this is a Staff-level role requiring deep expertise in pricing analytics, data science, and financial modeling. Specific years of experience and technical skills are not explicitly stated in the provided text, but the Staff / Principal classification implies 8+ years of relevant experience with demonstrated impact on company-wide initiatives.
