Data Science Lead

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. Our mission is to make cryptocurrencies accessible to over a billion people by 2030! 🚀

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. 🌎

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  

The team  ❤️ 

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 💻

GCP, BigQuery, Postgres, Python, Airflow, DBT, Looker

What you’ll do 👀 

• Lead the data science team by identifying and leaning into opportunities to advance the data science discipline at MoonPay.

• Mentor and manage a small team of data scientists of various levels (from associate to senior).

• Establish and scale the design of MoonPay’s data science platform. 

• Decide on what priorities require the most attention; help set goals and metrics in order to influence product and operational decisions.

• Work closely with business partners and articulate their data science needs.

• Work cross functionally with other teams to streamline processes towards successful deliverables. 

• Work closely with talent and recruiting teams to grow and scale up the team.

• Collaborate with the rest of the data team to improve our overall data ecosystem and enforce best practices across the team and department. 

You should apply if you have the following ✅ 

• 5+ years of experience in a data science role within a fast-paced, agile and highly variable environment, preferably within the technology sector.

• 1+ years in a lead position, either as a technical or people lead.

• Advanced SQL knowledge.

• Advanced knowledge and experience in an object-oriented language, ideally Python, but others are considered.

• Deep and broad understanding of statistics, especially as applied to experimentation and testing

• Deep and broad understanding of model building, deployment and maintenance.

• Be able to apply machine learning principles and techniques within the context of various business needs. 

• Demonstrated ability to convey clear narratives about complex data models and concepts to audiences with varying levels of technical knowledge.

• Keen eye for operational and technical excellence.

Benefits 💰

• Stock options 📈

• Unlimited holidays 🏝

• Home office equipment allowance of $600 USD (or local equivalent) 🪑

• Working in a disruptive and fast-growing industry where the possibilities are endless 🚀

• Fully remote: your life, your way of working 🌎

• Freedom, autonomy and responsibility 💪