Grupo QuintoAndar | Senior Data Scientist (Women Applicants Only)

Role overview

A senior data scientist position embedded in a product squad, focused on designing, building, and shipping machine learning systems that power customer-facing features such as chatbots and search. The role blends hands-on modeling with experimentation, applied generative AI work, and technical leadership alongside product managers, engineers, designers, and other data professionals. The opening is part of an intentional effort to strengthen gender representation in technical teams, and the role operates on a remote-first model within Brazil, with optional access to office or coworking spaces.

Responsibilities

- Architect, develop, and deploy machine learning systems to production, with primary use cases around chatbot and search experiences - Design and execute experiments that inform product and model decisions - Analyze structured and unstructured data to improve existing models or develop new approaches - Apply the scientific method to build LLM-powered applications, including prompt testing, capability exploration, agent evaluation, guardrail assessment, and generative AI proof-of-concepts - Provide technical guidance across the data science community, including design reviews, demos, and chapter-level discussions

Requirements

- Three or more years of experience applying data science and creating machine learning models - Solid command of core ML concepts such as regression, classification, clustering, neural networks, feature selection, cross-validation, the curse of dimensionality, the bias-variance tradeoff, and model explainability - Awareness of the engineering challenges involved in taking machine learning systems to production - Proficiency in Python - Some experience with deep learning - Demonstrated ability to advise other data scientists, supported by clear written and verbal technical communication - Professional working proficiency in English, both spoken and written

Nice to have

- A master's degree, or an undergraduate degree combined with substantial industry experience, in machine learning, data science, information retrieval, ranking systems, recommender systems, or natural language processing - Hands-on experience with applied generative AI, including AI agents, prompt engineering, and LLM fine-tuning approaches such as LoRA, QLoRA, or PEFT, plus exposure to LLM routing, monitoring, and guardrails - Background working at fast-growing startups

Benefits and work setup

- Remote-first model based in Brazil, with the option to use São Paulo offices or partner coworking spaces up to twice per week - Competitive salary with profit sharing - Meal allowance and home office allowance - Health, dental, and life insurance coverage - Childcare subsidy and additional support for atypical parenthood situations - Wellhub membership and an employee assistance program covering mental health, social, legal, and financial support - Extended parental leave, plus time off on birthday, Mother's Day, and Father's Day - Discounts on everyday services, educational institutions, and a children's reading kit program