OverviewGrupo QuintoAndar | Senior Data Scientist (Women Applicants Only)Join to apply for the Grupo QuintoAndar | Senior Data Scientist (Women Applicants Only) role at QuintoAndar.About QuintoAndarQuintoAndar 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 QuintoAndarWe 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 QuintoAndarWe 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.Location & Remote WorkOur technology team works on the "remote-first" model, which means we are working from home with the possibility of living anywhere in Brazil.LanguageThis job description is written in English because for that position you will need it for communications with coworkers and suppliers who are from worldwide. 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.Selection processIt usually takes around 45 days (from applying to the end) and follows these steps:ApplicationInterview with RecruiterTech ScreeningTechnical Interview with Data Products TeamOfferArea and responsibilitiesIn our Data Science team, you will work as part of product squads delivering features that enrich our product and provide a first-class experience. You will work with Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, and more. Be prepared for hard challenges, high expectations, meaningful conversations, and outstanding productivity. Specific problems 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 to develop and deploy these 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.ResponsibilitiesArchitect, develop and deploy machine learning systems to production. The main use cases are related to chatbots and searchDesign and execute experimentsAnalyze a wide variety of data (structured and unstructured, observational and experimental) to improve current models or create new onesApply 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 featuresParticipate actively in discussions and decisions regarding the whole Data Science chapter (Guilds, Design Reviews, Demos, etc.)RequirementsWhat we are looking for:People that are seeking to learn and deliver real impact through Data ScienceExpert 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 productionProficiency in PythonSome knowledge or experience with Deep LearningExperience with technical advice for other data scientists (technical leadership)Excellent written and verbal technical communication skills. We are looking for someone who loves Data Science & Machine Learning and is willing to share their knowledge with the other members of the Data Science ChapterGood English skills (verbal and written) is mandatoryNice to haveHave a MSc. (or Undergrad + intense experience) in machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing or other relevant fieldsHave experience with applied generative AI: AI agents, prompt engineering, LLMs finetuning (lora, qlora, peft), LLM routing, LLM monitoring, LLM guardrailsHave experience working at fast-growing startupsImportantOur 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 processAll 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 spamBenefitsCompetitive salary packageBonusMeal allowance ("Flash Benefícios"Public transportation allowance*Health planDental plan (optional)Life insuranceDaycare subsidySubsidy to sports practicing (Gympass)Extended maternity and paternity leaveReserved room for breast-feedingDiscount on our parking lotEducational discountsFree transfer from Vila Madalena and Fradique Coutinho stations to the officeFree 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 & InclusionAt 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 levelEmployment typeFull-timeJob functionDesign, Art/Creative, and Information TechnologyIndustriesTechnology, Information and InternetReferrals increase your chances of interviewing at QuintoAndar by 2xGet notified about new Crew jobs in Brazil.We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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