Build and deploy machine learning models, analyze complex customer data, and deliver commercial insights that guide decisions across brands and regions, with a focus on engagement, retention, and lifetime value.
Pricing Data Scientist
π Description
- Develop pricing strategies for individual products and bundles, including tiers, concessions, and waivers.
- Adjust partner pricing within agreed guardrails and document the rationale for changes.
- Analyze partner volume, conversion, and cost data to identify pricing opportunities and risks.
- Build AI-powered pricing calculators, deal-sizing models, dashboards, and experimentation frameworks.
- Partner with Finance, Partnerships, Product, Compliance, and Legal on commercially sound pricing.
- Create pricing frameworks and self-serve guidance, and flag product changes indicated by pricing data.
π οΈ Requirements
- 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.
β¨ Benefits
- Competitive salary package
- Employee equity package
- Pay-for-performance equity bonus
- Moonshot award: $250,000 equity grant for selected employees
- Employer pension contributions from day one
- Employee referral program with 10K in USDC
- Flexible time off
- Company-wide end-of-year Recharge Period
Full job description
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.
|
Pricing Data Scientist, Partnerships New York, NY (USA) 1. About the Opportunity βοΈ Join our Partnerships team as 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
3. About You
|
Similar jobs
Search more Data Scientist jobsDesenvolve e avalia modelos de machine learning, transforma desafios de negΓ³cio em experimentos e insights e apoia pipelines, implantaΓ§Γ£o e monitoramento de soluΓ§Γ΅es de dados e IA.
Designs and deploys machine learning, AI, and data analytics solutions, applying NLP, computer vision, graph analytics, and geospatial tools to uncover insights and support operational workflows.
Data Scientist, Analytics Enablement
Build trusted financial and business metrics, datasets, dashboards, and analyses that explain performance drivers and help Finance and operating teams make better decisions.
Founding Data Scientist
The Founding Data Scientist will define metrics, design experiments, and analyze product, agent, and model performance to connect AI system changes with customer outcomes and guide product and ML decisions.
