My goal with this blogpost is to share the factors that persuaded me to join Nubank and relocate to Berlin.
Nubank's take on how these two roles interact and how each plays a key part in a successful team.
In the fifth – and final – episode of the web series about working at Nubank, learn how engineering and data science help us develop simpler, more efficient solutions without high fees.
Machine learning (ML) models are very sensitive pieces of software; their successful use needs careful monitoring to make sure they are working correctly.
Analytical work can greatly benefit from software engineering standards in terms of quality and efficiency, here's how.
A huge part of Nubank’s Data Science team has been recently focusing on leveraging causal inference along with traditional machine learning to solve some of our toughest problems.
It is not just a matter of collecting, analysing and interpreting data. Check out the six principles that build our data scientists’ code.
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