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Grupo QuintoAndar | Senior Data Scientist (Women Applicants Only)
QuintoAndar
Brasil
Teletrabalho
BRL 120.000 - 160.000
Tempo integral
Melhora as tuas possibilidades de ir a entrevistas
Cria um currículo adaptado à oferta de emprego para teres uma taxa de sucesso superior.
Resumo da oferta
Oportunidade para um Cientista de Dados Sênior na QuintoAndar, com enfoque na criação e implementação de modelos de machine learning. A empresa busca indivíduos que queiram fazer diferença, em um ambiente de trabalho horizontal e colaborativo. As responsabilidades incluem o desenvolvimento de soluções robustas e análise de dados para aprimorar a experiência do usuário.
Serviços
Qualificações
- Experiência mínima de 3 anos em ciência de dados aplicando machine learning.
- Conhecimento em tópicos como redes neurais e validação cruzada.
- Boa comunicação técnica em inglês e português.
Responsabilidades
- Arquitetar, desenvolver e implementar sistemas de machine learning em produção.
- Analisar dados variados para melhorar modelos existentes.
- Participar ativamente em discussões sobre o capítulo de Ciência de Dados.
Conhecimentos
Formação académica
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.
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 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 diverse portfolio of brands and solutions that cover all stages of the journey of living. We develop technologies and innovations that transform and leverage the whole living experience.
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
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, 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.
About our selection process:
It usually takes around 45 days (from your applying to the end) and follows this steps:
- Application
- Interview with Recruiter
- Tech Screening
- Technical Interview with Data Products Team
- Offer
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.
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 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 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 his/her knowledge with the other members of the Data Science Chapter;
- Good English skills (verbal and written) is mandatory
- 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
- 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. We review all candidates individually and provide feedback even to those who do not proceed in the process;
- 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
- 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;
- Language learning support;
- 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.
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
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.
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionDesign, Art/Creative, and Information Technology
- IndustriesTechnology, Information and Internet
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