Grupo Quintoandar | Staff Data Scientist

Join to apply for the Grupo QuintoAndar | Staff Data Scientist role at QuintoAndarAbout Grupo QuintoAndar: We are 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.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: The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities.They are structured as follows:ApplicationInterview with RecruiterTech ScreeningTechnical Interview with Data Products TeamOfferAbout the Area: In 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 collaborate with Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, and others.Responsibilities include solving hard problems, high standards, and meaningful collaboration.Specific problems include search and recommendation systems; customer experience improvements using ML (e.g., 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 at least 3+ years of experience applying data science and building machine learning models.If you are early in your Data Science journey, please apply to the Data Scientist role instead.ResponsibilitiesArchitect, develop and deploy machine learning systems to production.Main use cases include 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 prompts, evaluating LLM capabilities, assessing AI guardrails, and building PoCs to validate generative AI for product features.Participate in Data Science chapter activities (Guilds, Design Reviews, Demos, etc.).What we are looking for:People who seek to learn and deliver real impact through Data ScienceExpert knowledge of ML concepts: regression, classification, clustering, neural networks, feature selection, cross-validation, bias-variance tradeoff, model explainability, etc.Good understanding of engineering challenges to deploy ML systems to productionProficiency in PythonSome knowledge or experience with Deep LearningExperience with technical leadership for other data scientistsExcellent written and verbal technical communication skills; passion for sharing knowledge within the Data Science ChapterGood English skills (verbal and written) are mandatoryNice to have:A MSc (or Undergraduate + intensive experience) in ML, DS, IR, ranking systems, recommender systems, NLP, or similar fieldsExperience with applied generative AI: AI agents, prompt engineering, LLM fine-tuning (LoRA, QLoRA, PEFT), LLM routing, LLM monitoring, LLM guardrailsExperience working in fast-growing startupsImportantOur hiring process starts with the application.We analyze all candidates and provide feedback to all applicants.All communications will be via email.Please monitor for messages and ensure emails from @quintoandar.com.br are not marked as spam.BenefitsCompetitive salaryProfit sharingMeal allowanceHealth insuranceDental planLife insuranceChildcare subsidy and Atypical Parenthood subsidyWellhubHome office allowanceEmployee assistance program (mental health, social, legal, and financial support)Extended parental leaveDay off on birthday, Mother's Day, and Father's DayBenefits Club (discounts on everyday services)Discounts at educational institutionsReading kit for children – PlayKidsDiversity & Inclusion: We value diversity and welcome everyone, regardless of age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic.All job openings are open to all individuals.Privacy and Data Protection: We comply with privacy and data protection laws, including LGPD.Access our Privacy Notice for Candidates for more details and contact us via our Service Channel to exercise data rights.Seniority level: Mid-Senior levelEmployment type: Full-timeJob function: Design, Art/Creative, and Information Technology; Industries: Software DevelopmentNote: This description was refined for clarity and formatting while preserving original content and intent.#J-*****-Ljbffr