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Grupo QuintoAndar | Senior Data Scientist

QuintoAndar

Brasil

Teletrabalho

BRL 80.000 - 120.000

Tempo integral

Há 30+ dias

Melhora as tuas possibilidades de ir a entrevistas

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Resumo da oferta

Join a leading proptech company that is transforming the real estate market in Latin America. As part of the Data Science team, you'll work on high-impact projects, utilizing cutting-edge technology to create innovative solutions that enhance customer experiences. This role offers the chance to collaborate with talented professionals in a dynamic and inclusive environment, where your contributions will directly impact the lives of thousands. If you're passionate about data science and eager to make a real difference, this opportunity is perfect for you.

Serviços

Competitive salary package
Bonus
Meal allowance
Public transportation allowance
Health plan
Dental plan (optional)
Life insurance
Daycare subsidy
Subsidy to sports practicing
Extended maternity and paternity leave

Qualificações

  • Expert knowledge of machine learning concepts and Python proficiency required.
  • Good understanding of engineering challenges in deploying ML systems.

Responsabilidades

  • Architect and deploy machine learning systems to production.
  • Analyze data to improve models and create new ones.

Conhecimentos

Machine Learning Concepts
Python
Deep Learning
Technical Communication Skills
Data Analysis

Formação académica

MSc in Machine Learning or Data Science
Undergraduate degree with intense experience

Ferramentas

LLMs Finetuning
AI Agents

Descrição da oferta de emprego

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About QuintoAndar:
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 our website.

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:
This job description is written in English because for that position you will need it for communications with coworkers and suppliers who are from worldwide.

About our selection process:
It usually takes around 45 days (from your applying to the end) and follows these steps:

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

About The Area:
In our Data Science team, you'll have the chance to work as a 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 in the Data Science team 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.).

Requirements:

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.
  • 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.

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.
  • 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;
  • Public transportation allowance;
  • Health plan;
  • Dental plan (optional);
  • Life insurance;
  • Daycare subsidy;
  • Subsidy to sports practicing;
  • 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;

Diversity & Inclusion at QuintoAndar:
At QuintoAndar, we believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences.

Data Protection Policy:
The data entered in the selection process form is confidential and stored in a secure environment.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Design, Art/Creative, and Information Technology
  • Industries: Technology, Information and Internet
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