Grupo QuintoAndar | Senior Data Scientist Manager

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 Argentina. We also offer the option of working from our Buenos Aires offices, 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:

• People Interview
• Tech Screening
• Technical Interview
• Leadership Interview

About the Team

Join our Data Science 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. As a Data Science Manager, 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. You will drive high-impact projects, mentor team members, and play a crucial role in shaping the technical direction of our machine learning solutions.

Responsibilities

• Manage a team of Data Scientists and Data Engineers, fostering a high-performance culture and continuously raising the bar for technical excellence.
• Act as a technical reference for the team, architecting, developing, and deploying machine learning systems to production. 
• Discuss business requirements with Product Managers and other senior leaders to align data strategy with business goals
• Guide the team in designing and executing experiments, ensuring robust analysis of structured and unstructured data to improve current models
• Focus on recruiting great talent and helping them grow through regular performance feedback and development opportunities
• Setting clear goals and objectives for the team and ensuring they are aligned with the overall business objectives;
• Advocating for the value of data and AI within the organization and fostering a data-driven culture.

What we are looking for:

• You have a proven track record of leading teams and managing careers within the data field for at least 2 to 3 years
• Deep understanding of machine learning concepts, including regression, classification, clustering, neural networks, cross-validation, and model explainability
• Strong knowledge of probability and statistics, including experimental design, optimization, and causal inference for A/B testing
• Solid understanding of the engineering challenges required to deploy and maintain machine learning systems in production
• Proficiency in Python and Experience with software engineering best practices, and operating production environments.

You'll stand out if you:

• Have experience building solutions with Large Language Models (RAG, fine-tuning) and developing Al agents or agentic frameworks (LangGraph, LangChain)
• Hold an MSc. or PhD in Computer Science, Statistics, or a relevant technical field
• Have solid experience with Deep Learning and NLP techniques.
• Have experience working in fast-growing startups or high-tech companies, specially two sided marketplaces.
• Excellent written and verbal communication skills in English are mandatory

Important

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Variable compensation (Somente para vagas comerciais)
• Meal allowance 
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids
  
  

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.