About MoonPay
Hi, we're MoonPay.
We're here to onboard the world to Web3.
Why?
Because we think Web3 is a unique and democratising technology.
It gives people back control of their money, digital identity, data, and property like nothing else before it.
What we do
We're the leading infrastructure company in Web3.
This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs.
Over 20 million people around the world now trust our products — just take a look on Trustpilot.
We're also big on collaborations and have worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands.
About the Opportunity
We're on the lookout for a skilled Product Data Scientist to join our team, where you'll be pivotal in driving business growth and maximising our product performance.
This is your chance to have a significant impact on our market-leading products, optimising identity initiatives and delivering actionable insights across the wider product organisation.
Join us and be part of an exciting journey to reshape our industry!
What you will do
Provide insights and recommendations to stakeholders based on a deep understanding of MoonPay products, and identify and drive new opportunities for product improvements & enhanced customer experiences.
Work closely with the Identity team and business stakeholders within the compliance team to review product performance, look for opportunities to optimise our products, and deliver data-driven strategies for increased product performance.
Define KPIs, design tracking and set up monitoring for new product launches & changes.
Oversee and implement A/B tests and other experiments to drive forward optimization efforts.
Leverage and incorporate forecasting or predictive modelling techniques to drive recommendations / actionable insights.
Build robust data models downstream of backend services and external data sources.
Design, build and scale both internal and external data products, which drive informed decision making; examples include dashboards, reports, models, algorithms, integrations into other product lines.
Communicate complex concepts and findings to technical and non-technical audiences across different teams, including VPs, while ensuring clarity and understanding to drive critical business decisions.
As a Product Data Scientist, you will be expected to independently lead projects from end-to-end.
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