| Location | New York, NY |
| Salary | $258,000–$300,000 Per Year |
Staff Pricing Data Scientist
New York - Hybrid
Data - Data Science /
Full Time /
Hybrid
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About MoonPay
MoonPay is for builders with something to prove.
This isn''t a "work on cool crypto stuff" company. It''s a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia.
AI is the default operating mode here. It''s woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters.
You''ll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together.
The bar is high. The pace is real. We''re building for what''s next, for humans and agents.
Recent recognition:
Forbes'' America''s Best Startup Employers 2026 .
2nd in Crypto Services on Fortune''s inaugural Crypto 100
The Sunday Times Best Places to Work two years running
Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.
Staff Pricing Data Scientist, Partnerships
New York, NY (USA)
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.
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.
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.
$258,000 - $300,000 a year
Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.
Benefits & Perks
Competitive salary package
Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay
Pay-for-performance equity bonus: those who drive outsized outcomes receive outsized rewards
Moonshot award: we honor exceptional impact. 20 employees a year, each earning a $250,000 equity grant
Pension: employer contributions from day one
Employee referral program: refer great people, earn 10K in USDC
Flexible Time Off: choose when to work and when to switch off
Recharge Period: end-of-year company-wide time off to rest and reset
Birthday leave: take the day off to celebrate you
Enhanced parental leave: more time with family, no second thought
Hybrid working schedule: work fully remotely or from your nearest Moonbase
Commuter benefits: public transport to and from the office
Private healthcare benefits: to protect you and your loved ones
Wellhub wellness membership: access to gyms, studios, classes, and wellness apps in one membership
Enterprise access to the latest AI tools: Claude, ChatGPT, Gemini and whatever''s next
Lunch credit: meals covered on the days you''re in the office
Home office setup allowance: build the home office of your dreams
Remote working allowance: those working fully remotely get a little extra for utilities
Monthly product budget and zero-fee crypto transactions
$1,000 Annual training budget: we support your learning journey
High Potential Program: structured development, mentorship, and stretch opportunities
️ Regular remote company offsites: high-impact in-person sessions and hackathons
(Ireland) Cycle to Work scheme: tax-efficient bike, gear, and safety kit
(UK) EV Salary Sacrifice: lease an electric vehicle through pre-tax salary
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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