Nubank is the leading fintech in Latin America. Using bleeding-edge technology, design and data, Nubank is committed to fighting complexity and empowering Brazilians to take control of their finances. Over 16 million people have applied for its mobile-controlled credit card since its launch on September 2014. With a head office located in the Pinheiros region of São Paulo and an engineering office located in Berlin, Nubank has raised almost USD 330 million in investment rounds led by Sequoia Capital, Founders Fund, Tiger Global, Kaszek Ventures, Goldman Sachs, QED Investors and DST Global.
Why do we hire data scientists?
Nubank is a technology company that has set out to completely rethink financial services in Brazil. We need world-class data scientists (and modelers, statisticians, AI practitioners, machine learning engineers) to build proprietary algorithms that predict responsiveness to marketing, credit risk, fraud likelihood and many other types of customer behavior to get us there.
What are some examples of problems a data scientist solves?
At Nubank, we don’t shy away from using the latest and greatest machine learning algorithms and techniques; in fact, we encourage them. We have a rich dataset with natural language text, images, graphs, and much more, as well as more traditional sources of financial data. We also have an almost endless set of models to build, including everything from credit scoring to text tagging. Below are just a few of the problems a Nubank data scientist might solve:
You will fit well if
We are excited to meet people with various areas of expertise (both experienced and college seniors) – there is no single ideal profile. We believe there is room for very diverse skill sets to add value.
You will experience an early stage startup culture in a truly diverse and international environment. We believe in good team chemistry, flat hierarchy, enthusiasm for creating things, and our surprising capacity to learn new things when we stay humble and open-minded. A quantitative academic background with advanced degrees and English language proficiency are helpful.
Desired skills and experience
We are excited to meet data scientists with various areas of experience – there is no single ideal profile. We believe there is room for very diverse skill sets to add value: