Grupo QuintoAndar | Staff Data Scientist

Grupo QuintoAndar; Teletrabalho; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading real estate technology company is looking for a Senior Data Scientist to work in a remote-first environment. In this role, you will architect and deploy machine-learning models while collaborating with a team of skilled professionals. Candidates should have a strong background in machine learning, proficiency in Python, and excellent communication skills. Benefits include health insurance, profit sharing, and a progressive work culture that values diversity.

Serviços

Profit sharing

Health insurance

Life insurance

Childcare subsidy

Home office allowance

Days off for special occasions

Qualificações

• Minimum of 3+ years experience applying data science in a senior role.
• Understanding of deploying machine-learning systems to production.
• Experience providing technical leadership for other data scientists.

Responsabilidades

• Architect, develop and deploy machine-learning systems to production.
• Design and execute experiments.
• Analyze a wide variety of data to improve models.

Conhecimentos

Expert knowledge of machine-learning concepts

Proficiency in Python

Good English skills (verbal and written)

Excellent written and verbal technical communication skills

Formação académica

MSc. in machine learning, data science, or relevant fields

Ferramentas

Python libraries for Data Science

Machine Learning frameworks

Descrição da oferta de emprego

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, where 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

• Application
• Interview with Recruiter
• Technical Interview with Data Products Team
• Offer

About the Area

In our Data Science team, you’ll have the chance to work as part of our product squads delivering features that enrich our product and a first‑class experience that we are known for. You’ll collaborate with brilliant minds, including Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, and Software Engineers. Be prepared for the job of your life—hard challenges, high expectations, intelligent conversations, and outstanding productivity.

Some of the specific problems we work on include search and recommendation systems, customer experience enhancement using ML (such as automatic routing of tickets), pricing, liquidity, and credit models, and 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 3+ years of experience applying data science and creating machine‑learning models. If you have the skills but are just starting your journey in Data Science, please apply to the Data Scientist job instead.

Responsibilities

• Architect, develop and deploy machine‑learning systems to production. The main use cases are related to chatbots and search.
• Design and execute experiments.
• Analyze a wide variety of data (structured and unstructured, observational and experimental) to improve current models or create new ones.
• Apply the scientific method to develop LLM‑powered applications, including testing different prompts, exploring and understanding LLM capabilities, evaluating agents and prompts, assessing AI application guardrails, and building PoCs to validate the feasibility of generative AI for product features.
• Participate actively in discussions and decisions regarding the whole Data Science chapter (Guilds, Design Reviews, Demos, etc.).

What we are looking for

• People who are seeking to learn and deliver real impact through Data Science
• Expert knowledge of machine‑learning concepts: regression and classification, clustering, neural networks, feature selection, cross‑validation, curse of dimensionality, bias‑variance tradeoff, model explainability, etc.
• Good understanding of the engineering challenges to deploy machine‑learning systems to production
• Proficiency in Python
• Some knowledge or experience with Deep Learning
• Experience providing technical advice for other data scientists (technical leadership)
• Excellent written and verbal technical communication skills. We’re looking for someone who loves Data Science & Machine Learning and is willing to share their knowledge with the other members of the Data Science Chapter
• Good English skills (verbal and written) are mandatory

You'll stand out if you

• Have a MSc. (or Undergrad + intense experience) in machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing, or other relevant fields.
• Have experience with applied generative AI: AI agents, prompt engineering, LLMs finetuning (LoRA, QLoRA, PEFT), LLM routing, LLM monitoring, LLM guardrails
• Have experience working at fast‑growing startups.

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.
• Profit sharing
• Health insurance
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• 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

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.