Grupo QuintoAndar | Senior Data Scientist (Women Applicants Only)

Grupo QuintoAndar

Brasil

On-site

BRL 180,000 - 320,000

Full time

14 days+

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Benefits offered by this job

Profit sharing
Health insurance
Life insurance
Childcare subsidy
Home office allowance
Employee assistance program
Extended parental leave
Birthday/holiday off

Job summary

Grupo QuintoAndar is seeking a Senior Data Scientist for a women-focused diversity role in Brazil. You will build and deploy ML systems, lead experiments, and analyze diverse data to improve models and product features.

The role emphasizes collaboration with product squads and advancing generative AI use cases. The team operates in a remote-first setup across Brazil, with optional office days in São Paulo or coworking spaces up to twice weekly.

Qualifications

  • Strong ML background with production experience in Python.
  • Familiarity with LLMs, prompt engineering and AI safety considerations.
  • Proven ability to deploy ML models at scale and monitor performance.

Responsibilities

  • Architect, develop and deploy ML systems in production, focusing on chatbots and search.
  • Design experiments and analyze diverse data to improve models.
  • Collaborate with cross‑functional teams and contribute to Data Science Chapter decisions.
  • Apply scientific methods to build PoCs for generative AI features.

Skills

Python
Machine learning
Deep learning
LLMs & prompt engineering
Data analysis
English proficiency

Education

MSc in ML/DS/IR or related field
Undergrad + intense experience in ML/DS

Tools

TensorFlow
PyTorch
SQL
Spark
Cloud (GCP/AWS)

Job description

Grupo QuintoAndar | Senior Data Scientist (Women Applicants Only)

Why is this a diversity-focused position for women?

At QuintoAndar Group, we are committed to promoting gender diversity across our teams. We want to see more women in strategic positions within our technical teams, and we believe we can achieve this through intentional opportunities and actions. This is part of a larger plan to strengthen an equitable culture across multiple aspects. It is worth noting that for this vacancy, our selection process has not undergone any changes in terms of stages or evaluation methods.

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

  • Application
  • Interview with Recruiter
  • Technical Interview with Data 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 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 on 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.

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 that 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 with 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) is 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.

Benefits

  • 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!

We’ll ask 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. 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.

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