[Hiring] Senior Data Scientist @Grupo QuintoAndar

Role Description

At QuintoAndar Group, we are committed to promoting gender diversity across our teams. We want to see more women in strategic positions within our technical teams, and we believe we can achieve this through intentional opportunities and actions. This is part of a larger plan to strengthen an equitable culture across multiple aspects.

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.

Qualifications

• 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
• Good English skills (verbal and written) is mandatory

Requirements

• People that are seeking to learn and deliver real impact through Data Science
• 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

Benefits

• Competitive salary
• Profit sharing
• Meal allowance
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids