opengreenhouseqedinvestors
Grupo QuintoAndar | Tech Lead Manager (Data Science)
QuintoAndar
LocationBrasil
Last observed2026-06-13 05:24:19.974299
Job idqedinvestors-quintoandar:greenhouse:4095571009
About Grupo QuintoAndar We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience. With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year. 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/ . Location & Remote Work Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week. Hiring Process Stages The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows: Application Interview with Recruiter Tech Screening Technical Interviews with Data Team Offer Data Science and Machine Learning (LLM) at QuintoAndar Join our Data Science and Machine Learning team dedicated to empowering our Brokers and become a key part of our product squads, delivering features that enrich our product and uphold the first-class experience we're known for. You'll collaborate with talented individuals from various disciplines: Data Scientists, Machine Learning Engineers, Software Engineers, Product Managers, Designers, and more. Get ready for the job of a lifetime: expect challenging tasks, high standards, meaningful conversations, and outstanding productivity. You will lead the development of cutting-edge solutions ranging from autonomous Agentic AI systems to assist brokers to traditional Machine Learning models that optimize conversion, capacity, and productivity within our ecosystem Tech Lead Manager Responsibilities At QuintoAndar As a Tech Lead Manager (TLM), you will balance hands-on technical work with managerial responsibilities, having the opportunity to make a significant impact through both technical excellence and strategic leadership. This role is designed for professionals who are passionate about deep technical challenges and team leadership, allowing you to grow by solving complex problems. You won't just oversee projects; you will drive the architecture, write code for critical components, and ensure our AI solutions are both innovative and production-ready. On top of being a great Data Scientist, we expect you to: Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML. This position is focused on building real state brokers advisors AI agents and traditional ML models for a number of applications involving our partners journeys Be a technical reference to the team, including doing hands-on work when needed, fostering a high-performance culture and continuously raising the bar Shaping the technical direction of our products, translating business requirements into solutions. Discuss business requirements with the Product Manager and other stakeholders. What we are looking for Experience leading teams and managing careers; Hands-on experience building and deploying ML solutions; Deep understanding of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, bias-variance tradeoff, model explainability, etc.; Strong knowledge of probability and statistics, including experimental design, optimization and causal inference for A/B experiments analysis. Good understanding of the engi
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