MoonPay is hiring a

Web3 Staff Growth Data Scientist, Monetization

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