Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. About the role We are seeking an enthusiastic and driven Data Scientist to join our Credit Strategy team. This role focuses on applying innovative machine learning methodologies to our risk model and developing causal machine learning approaches for the initial line assignment workflow. You will be responsible for Translate business challenges into specific and well-designed machine learning solutions that meet business requirements; Integrate and leverage external data sources to feed our models; Ensure the team maintains a high level of technical excellence; Contribute to a technical culture in the local team. Bring expertise to the team to help design projects across the many areas involved in building machine learning products (training, deployment, data consistency, monitoring, governance, etc.) We are looking for a person who has Strong coding skills Python/Scala or equivalent languages; Ability to interact and communicate effectively with business and engineering; Good understanding of model development and deployment pipeline; Experience with machine learning tools and libraries such as Scikit-learn, Mllib and etc; Nice data handling skills, Spark Dataframes, or SQL proficiency is a plus; Local Benefits Chance of earning equity at Nubank Extended maternity and paternity leaves Health and life insurance NuCare - Our mental health and wellness assistance program Nucleo - Our learning platform of courses Diversity & Inclusion At Nu, we want to be sure that we're building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That's why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company while ensuring neither of them represent a barrier when recruiting fantastic talent. #J-18808-Ljbffr