Data Scientist (Women Applicants Only)

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.

Data Science and Machine Learning at QuintoAndar

Join our Data Science and Machine Learning team and become a key part of our product team, delivering features that enrich our product and uphold the first-class experience we're known for. You'll collaborate with talented individuals from various disciplines: Data Scientists, Machine Learning Engineers, Software Engineers, Product Managers, Designers, and more. 

Get ready for the job of a lifetime — expect challenging tasks, high standards, meaningful conversations, and outstanding productivity.

We tackle problems like pricing and liquidity models, credit, income, and collection models, and developing a platform that allows us to create and deploy these solutions.

Responsibilities

• Architect, develop and deploy machine learning systems to production. The main use cases are related to house pricing and liquidity.
• Design and execute experiments.
• Analyze a wide variety of data (structured and unstructured, observational and experimental) to improve current models or create new ones;
• 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 deliver real impact through Data Science and Machine Learning
• Knowledge of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, bias-variance tradeoff, model explainability, etc.;       
• Practical experience with tabular data, preferably in the industry;
• Good understanding of the engineering challenges to deploy machine learning systems to production;
• Proficiency in Python;
• Excellent written and verbal technical communication skills;
• Good English skills (verbal and written) is mandatory, as it is the official language within the team.

You'll stand out if you:

• Have a MSc. (or Undergrad + intense experience) in machine learning, data science, statistics, or other relevant fields; 
• Have solid experience with pricing and liquidity models;
• Have experience working at fast-growing startups.