Data Scientist (Credit)
Revolut
- New York, New York, United States
- New York, New York, United States
Über
About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.
As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.
We’re looking for a Data Scientist to lead analytics over our credit and lending features. You'll provide insight into how we can deliver more value to customers while collaborating with professionals in Product, Design, and Engineering on impactful projects that drive our company’s growth.
Up to shape what's next in finance? Let us know.
What you’ll be doing
Improving existing algorithms
Building new PoCs
Delivering data-driven solutions to enhance product performance
Researching and developing PoCs into scalable data products
Collaborating with Product Owners, Engineers, and Data Scientists to continually solve complex data problems
What you'll need
Experience building and leading a data science team within a scaling organisation
A bachelor's in a STEM subject (mathematics, computer science, engineering)
Knowledge of data science tools, including Python, SQL, and production frameworks
Familiarity with probability and statistics fundamentals
The ability to think strategically and diagnose problems accurately
Experience productionising research into scalable solutions
Excellent communication and collaboration skills to partner with Product Owners and senior stakeholders
Nice to have
An advanced degree in a quantitative discipline (master's or PhD)
Experience with additional programming languages, such as Java, Scala, or C++
Familiarity with anti-fraud functions
Experience working at a large-scale global tech company
Participation in university Olympiad competitions in physics, mathematics, economics, or programming
Compensation range
Poland: PLN23,200 - PLN34,400 gross monthly*
Other locations: Compensation will be discussed during the interview process
*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience
Diversity and inclusion Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We’re not just doing this because it’s the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Get what you need to succeed
Financial benefits that show we value your work
Flexibility to work from home, the office, or abroad
A Revolut Metal subscription loaded with perks
Exciting events year-round so you can get to know your team
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.