Data Scientist, Product

About MoonPay 🌖💸

Hi, we’re MoonPay. We’re here to onboard the world to Web3. 

Why? Because we think Web3 is a unique and democratizing 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. And over 20 million people around the world now trust our products — just take a look on Trustpilot.

We’re also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands.

But that’s not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It’s taken off in a big way, and we're working hard to continually improve it and to strive for perfection.

So whatever your background, we’re sure there’s something for you here. Come help us build the future of Web3 and digital ownership.

Locations Supported 🌍

Portugal, Spain, Poland, Romania, South Africa, UK

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 be able to 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.

• Prioritise and manage competing tasks and deadlines effectively, aligning with goals and adapting to changing priorities.

• Contribute to our overall approach and standards within the data discipline.

• Be proactive in spearheading initiatives to support stakeholders and business partners around the organisation. 

About You 🙋

You will be expected to be able to lead data projects from end-to-end, as well as support junior analysts on the team. You will be someone who can contribute to our overall approach and standards within the data discipline. You will be proactive in spearheading initiatives to support stakeholders and business partners around the organisation. 

What you will need…

• Advanced SQL, data modelling, and data visualisation tools are second nature to you.

• You have a deep understanding of the fundamentals of statistics and probability, including experience in conducting large-scale A/B tests.

• You have experience working with product teams in an analytics role and are interested in working in the identity/compliance domain.

• You have the versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment.

• You are experienced in communicating with cross-functional stakeholders including product managers, engineers, and C-level executives.

• 2-5+ years experience as a data scientist or data analyst.

Bonus points if you have:

• Worked with DBT, Google BigQuery, Looker and Python

• Experience working in fintech

• Experience working in start-ups or scale-ups

• Knowledge of cryptocurrency

Research has shown that women are less likely than men to apply for this role if they do not have 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 that you are only a 75% match. Skills can be learnt, diversity cannot.

Perks:

Equity package 📈
Unlimited holidays 🏝
Paid parental leave 👶 🍼

Annual training budget 💻
Home office setup allowance 🪑

Monthly budget to spend on our products 💰

Working in a disruptive and fast-growing industry where the possibilities are endless 🚀
Freedom, autonomy and responsibility 💪

Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us. Please let us know by emailing [email protected]

Commitment to diversity:

At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.

MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.