Tech Lead Manager – Data Science

Descrição do job

QuintoAndar was born to do something very rewarding: open doors. We opened doors for technology to be part of living. And, through it, we simplify and reduce the bureaucracy of the experience of those looking for a new home. Thus, we became the most valuable proptech in Latin America, leading the real estate market in around six countries and more than 75 cities around the globe.

The first steps in the international market have been taken since we acquired Grupo Navent, which is ranked number 1 in Mexico (Inmuebles24), Argentina (Zonaprop), Peru (Adondevivir & Urbania) and Ecuador (Plusvalia) – among others. And most recently, we launched Benvi, our international brand in Mexico, which comes with our residential rental product and service.

We offer an end-to-end ecosystem to make life easier for those looking to rent or buy a home, sell a property and unlock a transaction. Think of zero paper or bureaucracy: everything happens on a single platform, with transparency and speed alongside incredible human support.

We are currently valued at over $5.1 billion (August 2021) and continue to grow 4x year over year, breaking records.

To make all this happen, we have more than 4,000 talented people, working with cutting-edge technology and best design practices to ensure a seamless experience throughout the sales and rental process, combined with smart financial products. Here you will work with the best professionals in the market, in an environment that breathes innovation, collaboration and high performance.

To learn more about our history, visit https://quintoandar.group/en/.

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 diverse portfolio of brands and solutions that cover all stages of the journey of living. We develop technologies and innovations that transform and leverage the whole living experience.

About working at QuintoAndar:

Possibility of learning;Opportunity to work in a team that seeks to use the best practices and tools in the market;Work in an informal environment with a horizontal structure;Being part of a team working on a high-impact project that affects the lives of thousands of people

Location & Remote Work

Our technology team works on the “remote-first” model, which means we are working from home with the possibility of living anywhere in Brazil.

Language and location

This job description is in English because the role requires communication with colleagues and stakeholders from around the world, and most of the tools and internal materials are in English.

// A descrição desta vaga está em Inglês pois essa posição requer o idioma para comunicação com colegas e stakeholders que são de diferentes países, e a maior parte das ferramentas e materiais internos são em Inglês.

About our selection process:

It usually takes around 45/60 days (from your applying to the end) and follows this steps:

Application Screening + CV ScreeningTech ScreeningInterview with RecruiterTechnical Interview with Data Science TeamsOffer

About The Area

Data Science and Machine Learning at QuintoAndar

Join our Data Science and Machine Learning team 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.

We tackle problems like intelligent search and recommendation systems, enhancing customer experiences with ML (such as automatic ticket routing and our GenAI-powered chatbot), pricing and liquidity models, credit, income, and collection models, and developing a platform that allows us to create and deploy these solutions.

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’ll drive high-impact projects, mentor and guide team members, and play a crucial role in shaping the technical direction of our products.

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 Customer Experience solutions: Automatic ticket routing, ticket summarization, chatbotsBe a technical reference to the team, including doing hands-on work when neededShaping the technical direction of our products, translating business requirements into solutionsDiscuss business requirements with the Product Manager and other stakeholders

Requirements

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, bayesian modeling, optimization and causal inference for A/B experiments analysisGood understanding of the engineering challenges to deploy machine learning systems to production;Proficiency in Python or another major programming language;Excellent written and verbal communication skills;

You’ll stand out if you:

Have solid experience with Deep Learning and NLP techniques;Have experience building solutions with LLMs (RAG, fine-tuning, etc);Have experience working at fast-growing startups

Important:

Our selection process starts with the application! If you are truly interested in joining our team, make sure to put in extra effort at this stage. We review all candidates individually and provide feedback even to those who do not proceed in the process;All communication is done via email, so be attentive to our messages and whitelist the @quintoandar.com.br domain to prevent our emails from going to spam

Benefits

Competitive salary package;Bonus;Meal allowance (“Flash Benefícios”);Public transportation allowance*;Health plan;Dental plan (optional);Life insurance;Daycare subsidy;Subsidy to sports practicing (Gympass)Extended maternity and paternity leave;Reserved room for breast-feeding;Discount on our parking lot;Language learning support;Free transfer from Vila Madalena and Fradique Coutinho stations to the office;Free bike rack in our parking lot*Due to our new remote-work reality, that benefit may have changed. That will be informed to you throughout the hiring process.

Diversity & Inclusion at QuintoAndar

At QuintoAndar, we believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences. Feel free to declare the information on the registration form. If you are not comfortable answering them, just choose the option “I prefer not to respond”. This information helps us create an increasingly inclusive environment and it is used only for this purpose, it is confidential, and it will not impact your performance throughout the hiring process

Data Protection Policy

The information you provide in the recruitment process form is confidential and stored in a secure environment. We have implemented technical and administrative measures to protect your data. To learn more about how we handle personal data, please visit our Privacy Policy.

To exercise your rights regarding your personal data, such as access to data, confirmation of processing, correction of data, anonymization, blocking or deletion, and other rights with the QuintoAndar Group, please contact us through our Customer Service Channel.