Senior Data Scientist

Brazil - Remote

Applications have closed

QuintoAndar

Encontre imóveis para alugar e comprar, agendamento de visitas online e contrato digital. Aluguel sem fiador e apoio em toda a compra de imóvel. Anuncie grátis!

View company page

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 https://quintoandar.group/en/.


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. We also have the option of using QuintoAndar's offices in São Paulo and Campinas or using partner coworking spaces, both up to twice a week.


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, for tools and internal materials as well. // A descrição desta vaga está escrita em Inglês porque para esta posição é necessário para a comunicação com colegas e fornecedores, que são de diferentes países, além do uso de ferramentas e materiais internos.


Stages of the Selection Process

Our selection process currently lasts an average of 30-40 days, from application to completion of the assessment. Going through:

1. Application Screening
2. Technical Online Challenge
3. Phone interview with Recruiters
4. Interview with Data Science Team + Reference Check
5. 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 on 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;
  • Building and helping to create documentations;
  • Design and execute experiments, collect and analyze data to characterize our product
  • Analyze a wide variety of data: structured and unstructured, observational and experimental - in order to improve our current models (or create new ones)
  • Participate actively in discussions and decisions regarding the whole Data Science chapter


Requirements

What we are looking for:

  • People that are seeking to learn and deliver real impact through Data Science, valuing work-life balance;
  • Strong knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
  • 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 or another major programming language;
  • Excellent written and verbal technical communication skills. We're looking for someone who loves Data Science & Machine Learning and is willing to share his/her knowledge with the other members of the Data Science Chapter;

You'll stand out if you:

  • Have a MSc. (or Undergrad + intense experience) in Computer Science, Engineering, Statistics, or other relevant technical field
  • Have experience with credit, fraud or any ML/DS project related to financial problems
  • Have experience in the Real Estate market;
  • Have experience working at fast-growing startups;
  • Are up-to-date with cloud solutions (preferably AWS);




Important:

  • Our selection process starts with registration! If you really want to be part of our team, take care of this step of the process. We analyze all candidates individually and give feedback even to those who do not follow the process;
  • All communication is done by email, so stay tuned for our messages and release the domain @quintoandar.com.br so our emails don't end up in 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;
  • 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

All of our job positions are open to people with or without disabilities. If you are a PWD and have not found any opportunities of your interest, register your resume in our talent pool, by clicking here..


Data Protection Policy

The data entered in the selection process form is confidential and stored in a secure environment. We take appropriate technical and administrative measures to protect your data.

To exercise your rights over your personal data, such as access to data, treatment confirmation, data correction, anonymization, blocking or deletion, and other rights with QuintoAndar, contact us at quin.to/mensagem. To learn more about how we treat personal data at QuintoAndar access our Privacy Policy.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Causal inference Classification Clustering Computer Science Engineering Machine Learning Predictive modeling Privacy Python Statistics UX

Perks/benefits: Career development Competitive pay Fitness / gym Health care Home office stipend Parental leave Transparency

Regions: Remote/Anywhere South America
Country: Brazil
Job stats:  17  0  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.