About Grupo QuintoAndar
We are QuintoAndar Group, Latin America’s largest real estate ecosystem. Guided by the purpose of helping people love where they live, we develop technology and solutions that simplify the entire housing journey, from renting to buying and selling.
Operating in 6 countries (Brazil, Mexico, Argentina, Peru, Ecuador, and Panama) along with a tech hub in Portugal, we bring together over 3,100 people united by the challenge of transforming the industry. Backed by global investors such as SoftBank, General Atlantic, and Kaszek, we have raised over $755 million and are valued at $5.1 billion.
We lead the market’s transformation by pioneering the large-scale application of Artificial Intelligence in real estate. Our platforms accumulate over 50 million monthly visits, managing more than 350,000 active rental contracts and processing R$ 20 billion annually.
If you are looking to solve complex problems with autonomy, cutting-edge technology, and massive scale impact, come on in—make yourself at home
Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.
About the Area
In our Data Science team, you'll have the chance to work as a part of our product squads delivering features that enrich our product and a first class experience that we are known for. You'll work alongside brilliant minds, with different skills: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, etc. Be prepared for the job of your life - hard challenges, high expectations, intelligent life at work, meaningful conversations, outstanding productivity.
Some of the specific problems we work in the Data Science team include search and recommendation systems; customer experience enhancement using ML such as in automatic routing of tickets; pricing, liquidity and credit models; building a platform that enables us to develop and deploy all those solutions.
Note: This is a senior position. We expect you to have at least 4+ years of experience applying data science and creating machine learning models.