AI-Powered Pricing Data Scientist – Partnerships (Hybrid)

MoonPay Inc.; New York (NY); Hybrid; USD 258.000 - 300.000; Vollzeit

Benefits dieser Stelle

Competitive salary package

Equity package: ownership for all

Pay-for-performance equity bonus

Moonshot award: equity grants

Pension: employer contributions from日

Employee referral program: 10K in USDC

Flexible Time Off

Recharge Period

Birthday leave

Enhanced parental leave

Hybrid working schedule

Commuter benefits

Private healthcare benefits

Wellhub wellness membership

AI tools access: Claude, ChatGPT, etc.

Lunch credit

Home office setup allowance

Remote working allowance

Product budget and crypto transactions

Annual training budget

High Potential Program

Remote company offsites

Cycle to Work scheme

EV Salary Sacrifice

Zusammenfassung

MoonPay is seeking a Staff Pricing Data Scientist to join our Partnerships team in New York, shaping pricing across on-ramp, off-ramp, swaps and more for partners. You’ll set pricing across products and bundles, build tools to speed decisions, and align with contract terms and cost structures.

You’ll collaborate with Finance, Product, Compliance, and Legal, applying AI to pricing challenges and driving revenue growth with data-driven insights.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Pricing

SQL

Python

Pricing structures

AI fluency

Stakeholder influence

Jobbeschreibung

MoonPay is seeking a Staff Pricing Data Scientist to join our Partnerships team in New York, shaping pricing across on-ramp, off-ramp, swaps and more for partners. You’ll set pricing across products and bundles, build tools to speed decisions, and align with contract terms and cost structures.

You’ll collaborate with Finance, Product, Compliance, and Legal, applying AI to pricing challenges and driving revenue growth with data-driven insights.