Lead/Staff Data Scientist

Sobre a vaga

About us 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. For more information, visit our institutional page https://international.nubank.com.br/careers/ Data Science at Nubank Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. Data Scientists are responsible for translating business needs into models and other types of data-driven solutions. As a Data Scientist, you’re expected to Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems; Investigate problems and discover insights through exploratory data analysis and other quantitative methods; Have great numerical and analytical literacy, including knowledge of statistics and linear algebra as needed; Work on multiple stages of the ML model lifecycle–from ideation to training and steady-state operation; Work across multiple types of models, algorithms and learning paradigms; Communicate technical points, decisions and tradeoffs to peers and stakeholders; Our ideal candidate Has experience working with ML models in a production environment; Understands possible pitfalls and tradeoffs when applying ML to real-word, sometimes messy problems; Is familiar with the technical aspects of learning theory and algorithms and is able to discuss details if needed; Has experience working with the Python scientific stack (Numpy, Pandas, Scipy, Sklearn, Boosted Tree Librar

Habilidades

O que você vai fazer

• Traduzir necessidades de negócio em modelos e soluções baseadas em dados.
• Investigar problemas e descobrir insights através de análise exploratória de dados.
• Trabalhar em múltiplas etapas do ciclo de vida de modelos de ML.
• Comunicar pontos técnicos, decisões e tradeoffs para colegas e stakeholders.
• Aplicar ciência de dados e inteligência artificial aos problemas do Nubank.

O que você precisa ter

• Experiência com modelos de ML em ambiente de produção.
• Conhecimento dos aspectos técnicos da teoria de aprendizado e algoritmos.
• Experiência com o stack científico Python (Numpy, Pandas, Scipy, Sklearn, Boosted Tree Libraries).

Perguntas frequentes