Summary

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

1. Build pricing algorithms to manage fee configurations on marketplaces dynamically
2. 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.
3. Conduct market research and competitive analysis to identify trends, opportunities, and potential areas for growth
4. Build crawlers and competitive intelligence tools to provide MoonPay with deep insights on competitor behavior across the Web3 ecosystem
5. Utilize data-driven insights to forecast, experiment, and demonstrate the incrementality of monetization strategies, making data-informed recommendations on revenue optimization opportunities.
6. Build data pipelines and dashboards to give leadership visibility on the performance of pricing experiments
7. Architect incentive and reward mechanisms tailored to boost retention, while obsessing over the finer details that elevate the end-to-end product experience
8. Create monetization strategies for new product lines, leveraging robust margin simulations and detailed financial modeling to inform decision-making
9. Structure B2B and enterprise agreements with rigor around unit economics, balancing growth ambitions with margin integrity
10. Collaborate with cross-functional teams, including Product, Engineering, FP&A, Data, and BD, to implement and execute monetization strategies effectively

1. What you will need

1. 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
2. Track record of designing and implementing high-impact incentive and reward systems that drive user engagement and retention
3. Hands-on experience in building adaptive, data-driven pricing algorithms tailored to marketplaces and dynamic conditions.
4. Strong analytical and quantitative skills, with proficiency in elasticity modeling and a good grasp of statistics, experimentation, and causal inference
5. Understanding of pricing strategies and revenue optimization in B2C / B2B2C / B2B environments, with more emphasis on B2C and B2B2C
6. Excellent communication and presentation skills to effectively communicate strategies and recommendations to stakeholders.
7. Ability to work in extremely fast-paced environments, managing multiple priorities and meeting deadlines.
8. Proficiency in SQL (BigQuery), Python, Git/GitHub, and preferably Looker (Tableau or PowerBI are acceptable as well)
9. Above average knowledge of DBT, Docker, GCP, and Airflow
10. Experience in the cryptocurrency industry, fintech sector, or platform-type businesses is preferred but not required.

1. Personal Attributes

1. Analytical mindset with a passion for data-driven decision-making.
2. Strong strategic thinking and problem-solving abilities.
3. Self-motivated and proactive, with a strong sense of ownership and accountability.
4. Problem solver, grounded in user problems, combined with strong first principles thinking to drive efficient solutions
5. Highly ambitious with a results-oriented attitude and continuous improvement mindset
7. Technologies you will work with
9. Python
10. SQL (BigQuery)
11. GCP
12. EPPO for experimentation
13. DBT, Docker, Cloud Run/Kubernetes, and Airflow for data orchestration and data pipelines
14. Looker data visualization
15. Git and GitHub for code collaboration
16. Ability to leverage AI tools such as Cursor and LLMs in the day-to-day work
17. Nice to have, but can be learned on the job:
18. Experience with web and/or app Scraping
19. TypeScript (just the ability to understand the logic, not necessarily write code)
20. DataDog (just the ability to write queries)
21. LaunchDarkly (just the ability to change feature flag rules manually or programmatically)
22. Postman for testing API calls

Skills

• Analytical Thinking
• Communications Skills
• Development
• Python
• Software Engineering
• SQL
• Strategic Thinking
• Team Collaboration