Staff Pricing Data Scientist, Partnerships

New York, NY (USA)

1. About the Opportunity ✍️

Join our Partnerships team as Staff Pricing Data Scientist and help shape how MoonPay prices its products for partners. As our suite grows across on-ramp, off-ramp, swaps, crypto deposits, and virtual accounts, pricing has become one of the biggest levers on partner revenue and win rates.

You'll help set and adjust partner-specific pricing across individual products and multi-product bundles, and build the tools that make pricing faster, more consistent, and more transparent for the whole team.

2. What you will do

• Develop and execute pricing strategy for individual products and multi-product bundles, including tier structures, concessions, and waivers.

• Make partner pricing changes directly, within agreed guardrails, and document the rationale behind each change.

• Review existing pricing using partner-level volume, conversion, and cost data to find where we're leaving revenue on the table or pricing ourselves out of deals.

• Build AI-powered tools for the Partnerships team, such as pricing calculators, deal-sizing models, transparency dashboards, and experimentation frameworks.

• Partner with Finance, Partnerships, Product, Compliance, and Legal so pricing is competitive, commercially sound, and consistent with contract terms and cost structure.

• Reduce ad-hoc pricing escalations by building clear frameworks and self-serve guidance that the partnerships team can use with confidence, and flag product changes the pricing data suggests.

3. About You

• Deep experience in pricing, monetization, or commercial analytics, ideally at a payments, fintech, marketplace, or B2B platform business.

• Strong SQL and Python (or similar), and comfort working with large transactional datasets.

• Experience designing pricing structures such as tiering, bundling, volume discounts, and take-rate models, with a commercial mindset that ties unit economics and competitive context to a clear recommendation.

• AI fluency: you're comfortable building internal tools with AI assistance and iterating quickly.

• Ability to influence senior stakeholders, act with autonomy, and explain complex pricing logic to non-technical teammates and partners.