Hi, we’re MoonPay. We’re here to onboard the world to the decentralized economy.
Why? Because crypto and blockchain aren’t just technologies—they’re tools for global financial empowerment. They give people control over their money, their digital assets, and their future, unlocking opportunities that traditional systems have kept out of reach.
What we do At MoonPay, we’re building the infrastructure that powers this new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods like cards, Apple Pay, PayPal, Revolut and Venmo. We provide simple tools to send, receive, and manage stablecoins, so anyone can participate in the crypto economy confidently.
Trusted by nearly 30 million customers and over 500 companies, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide.
We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. And we’re committed to doing it right—fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia—because trust and compliance are non-negotiable.
But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be.
If you believe financial freedom should be for everyone—if you believe in building a fairer, more open financial system—we want you with us. To build systems that benefit all, we need contributions from all, regardless of background.
Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal.
About the Opportunity ✍️
We are seeking a highly analytical and strategic Growth Data Scientist to drive pricing and monetization for MoonPay's Products.
As a Growth Data Scientist, you will be responsible for building our dynamic pricing algorithms, designing incentive and reward mechanisms, and developing a comprehensive strategy to optimize volume & revenue generation across the entire suite of MoonPay products and business lines. You will also be responsible for launching AB tests and quasi-experiments, analyzing data to identify opportunities for margin optimization, and developing an analytical infrastructure to track the performance of pricing optimizations. This role requires a deep understanding of marketplace dynamics, experimentation, causal inference, pricing strategies in B2C / B2B2C / B2B environments, and solid technical acumen.
What you will do: * Build pricing algorithms to manage fee configurations on marketplaces dynamically * Develop monetization strategies that strike a balance between volume and margin, considering factors such as competitor prices, purchase order size, payment methods, currency pairs, user types, and geographies. * Conduct market research and competitive analysis to identify trends, opportunities, and potential areas for growth * Build crawlers and competitive intelligence tools to provide MoonPay with deep insights on competitor behavior across the Web3 ecosystem * Utilize data-driven insights to forecast, experiment, and demonstrate the incrementality of monetization strategies, making data-informed recommendations on revenue optimization opportunities. * Build data pipelines and dashboards to give leadership visibility on the performance of pricing experiments * Architect incentive and reward mechanisms tailored to boost retention, while obsessing over the finer details that elevate the end-to-end product experience * Create monetization strategies for new product lines, leveraging robust margin simulations and detailed financial modeling to inform decision-making * Structure B2B and enterprise agreements with rigor around unit economics, balancing growth ambitions with margin integrity * Collaborate with cross-functional teams, including Product, Engineering, FP&A, Data, and BD, to implement and execute monetization strategies effectively
What you will need:
- Proven experience in growth analytics and monetization (pricing, promotions, rewards, and loyalty programs) functions, with examples of implementing successful monetization strategies within a Consumer product
- Track record of designing and implementing high-impact incentive and reward systems that drive user engagement and retention
- Hands-on experience in building adaptive, data-driven pricing algorithms tailored to marketplaces and dynamic conditions.
- Strong analytical and quantitative skills, with proficiency in elasticity modeling and a good grasp of statistics, experimentation, and causal inference
- Understanding of pricing strategies and revenue optimization in B2C / B2B2C / B2B environments, with more emphasis on B2C and B2B2C
- Excellent communication and presentation skills to effectively communicate strategies and recommendations to stakeholders.
- Ability to work in extremely fast-paced environments, managing multiple priorities and meeting deadlines.
- Proficiency in SQL (BigQuery), Python, Git/GitHub, and preferably Looker (Tableau or PowerBI are acceptable as well)
- Above average knowledge of DBT, Docker, GCP, and Airflow
- Experience in the cryptocurrency industry, fintech sector, or platform-type businesses is preferred but not required.
Personal Attributes:
- Analytical mindset with a passion for data-driven decision-making.
- Strong strategic thinking and problem-solving abilities.
- Self-motivated and proactive, with a strong sense of ownership and accountability.
- Problem solver, grounded in user problems, combined with strong first principles thinking to drive efficient solutions
- Highly ambitious with a results-oriented attitude and continuous improvement mindset
Technologies you will work with:
- Python
- SQL (BigQuery)
- GCP
- EPPO for experimentation
- DBT, Docker, Cloud Run/Kubernetes, and Airflow for data orchestration and data pipelines
- Looker data visualization
- Git and GitHub for code collaboration
- Ability to leverage AI tools such as Cursor and LLMs in the day-to-day work
- Nice to have, but can be learned on the job:
- Experience with web and/or app Scraping
- TypeScript (just the ability to understand the logic, not necessarily write code)
- DataDog (just the ability to write queries)
- LaunchDarkly (just the ability to change feature flag rules manually or programmatically)
- Postman for testing API calls
