Senior Data Scientist - Experimentation Platform
MoonPay builds payments infrastructure for cryptocurrencies. Our on- and off-ramp suite of products provides a seamless experience for converting between fiat and crypto using all major payment methods in over 160 countries.ย Our mission is to make cryptocurrencies accessible to over a billion people by 2030! ๐
We are trusted by 250+ leading wallets, websites, and applications. Some of the biggest crypto brands in the world, including Bitcoin.com, Dapper Labs, OpenSea, Argent, ZenGo, Trust Wallet and Spot, rely on our technology. Through these partnerships alone, our products are used by over 5 million users worldwide. ๐
One of the great things about working at MoonPay is that we are remote first. Our global team spans 25+ countries, and we pride ourselves on having a connected and inclusive culture that empowers people to do their best work. We give our team autonomy to move fast, innovate and take responsibility. Join us in our mission to build a better financial world!
We are very proud of our values and expect all those who join us to help us proactively drive and improve our culture, aligned to these values.
- B - Be Humble
- L - Lead with Empathy
- O - Own It
- C - Communicate Clearly
- K - Kaizen ย
The Team โค๏ธ
The data team is here to build, maintain and serve the best in class data platform to the whole of MoonPay, enabling all the teams to be able to take key data driven decisions and gain further insights into our operations. We're well established within MoonPay but there is still more than ample opportunity for you to come in with your own ideas and help shape our future.
Tech Stack ๐ปGCP, BigQuery, DBT, LookerWhat youโll do ๐
- Deliver real impact to MoonPayโs mission by taking complex business problems and helping solve them through data-driven solutions
- Build, test and deploy models to solve business challenges around fraud, compliance, customer lifetime value, customer churn
- Contribute to designing our data science platform for model training and experimentation
- Collaborate with data engineers, analysts and scientists to improve our overall data ecosystem and enforce best practices across the team and department
You should apply if
- You have excellent SQL skills
- You have experience working with Python
- You have more than 3 years of experience in a fast phased environment.ย
- You have a deep understanding of fundamentals of statistics and probability, including experience in conducting large scale A/B tests.
- You have a proven track record of building, deploying and maintaining machine learning models in a production setting
- You have the ability to clearly communicate complex results to both technical and non-technical audiences
- You have either had experience with some of our tech stack or are confident you can cross train and up skill quicklyย
- You are proficient in English, both written and spoken
- You have a self-starter, curious mindset and you proactively identify opportunities which lead to a real impact on the company
Bonus points if
- You have previous experience working in FinTech
- You have knowledge of cryptocurrency
Research has shown that women are less likely than men to apply for this role if they do not have solid 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 you only are a 75% match. Skills can be learnt, diversity cannot.
We promote a diverse and inclusive culture at MoonPay.
Logistics ๐ ย
Unfortunately, we are unable to offer visas of any kind at this time!
Our interview process takes place on Zoom and tends to consist of the following stages:
- Initial screen (30-45 minutes)
- Remote take-home taskย
- Final interview (2 hours)
Please let us know if you require any accommodations for the interview process, and weโll do our best to provide assistance.
- Stock options ๐
- Unlimited holidays ๐
- Home office equipment allowance of $600 USD (or local equivalent) ๐ช
- Working in a disruptive and fast-growing industry where the possibilities are endless ๐
- Fully remote: your life, your way of working ๐
- Freedom, autonomy and responsibility ๐ช