Data Scientist | Portugal - Remote friendly
Lisbon, Lisbon, Portugal
Applications have closed
QuintoAndar
Encontre imóveis para alugar e comprar, agendamento de visitas online e contrato digital. Aluguel sem fiador e apoio em toda a compra de imóvel. Anuncie grátis!About QuintoAndar
QuintoAndar is the most valuable proptech in Latin America, leading the real estate market in 9 countries and 70 cities around the globe. Every day we open doors so people can live better by reducing hassle and facilitating housing mobility.
After winning Brazil with a pioneer business model in the Rental, Sales, and Brokers market, we have recently acquired the Navent Group, which owns the number #1 clasificación en México (Inmuebles24), Argentina (Zonaprop), Perú (Adondevivir & Urbania), and Ecuador (Plusvalia) - among others.
We offer an end-to-end ecosystem for Brokers, Agents, and consumers, delighting the ones looking to rent or buy a home, sell a property and unlock a transaction. Think about zero paperwork or bureaucracy: everything happens in-app, with transparency and speed alongside amazing human support.
We are currently valued at over US$5.1 billion (Aug 2021) and keep growing 4x year over year, breaking records and pushing the bar up.
To make all this happen, we count on over 4 thousand talented people working very hard with cutting-edge technology and the best design practices to ensure a seamless experience during the entire sales and rental processes, also combined with smart financial products.
But that isn't all.
As a team, we make it happen together. Supported by a strong culture, our brilliant shapers enjoy collaborating, are honest, and trust each other. The combination of our shaping DNA and fair play makes QuintoAndar a stimulating, delightful and unique place to work at.
Are you ready to join an exciting tech-driven destination for bright people? We might have the right opportunity for you.
Be part of the Portuguese landing team
In 2022, we arrived in Europe with our first technology office outside Brazil. Portugal was the country chosen to start this journey. Our landing team is located in Lisbon and will interface directly with our Brazilian team. We want to be close to the European technology ecosystem and spread our innovation DNA in the new country. This is just the beginning. We are building a global playbook and expect to expand to other countries right after Portugal.
Location
Our positions are based in our brand new subsidiary in Lisbon. Due to Covid-19, we have adopted the "remote-first" model, which means our teams are mainly working from home. We have a physical office in Lisbon, and our team can use it whenever required. We have a global mobility team working to provide the best and safe experience for all employees and partners.
At QuintoAndar you will:
- Work with a top-notch team that uses the best practices and best tools.
- Learn a lot.
- Be part of a high-impact project that will affect many people's lives.
- Work in an informal environment and horizontal hierarchy.
About the role:
Every Data Scientist at QuintoAndar
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.
About our selection process:
It usually takes around 40 days (from your application to the end) and follows these steps:
1. Remote Interview with People team
3. Remote Interview with the Data Science and Engineering teams
4. Remote Interview with stakeholders
5. Offer
Important: Our recruitment process starts at the application form! If you really wish to be a part of our team, endeavor to do well at this stage of the process. We analyze all the candidates individually. Yes, we do read all applications and we’ll reply even to those who won't follow the process.
Requirements
What we are looking for:
- People that are seeking to learn and deliver real impact through Data Science, valuing work-life balance;
- Strong knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
- 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 or another major programming language;
- Excellent written and verbal technical communication skills. We're looking for someone who loves Data Science & Machine Learning and is willing to share his/her knowledge with the other members of the Data Science Chapter.
You'll stand out if you
- Have experience in the Real Estate market or in two-sided marketplaces;
- Have experience working at fast-growing startups;
- Have experience building large-scale recommendation systems;
- Are up-to-date with cloud solutions (preferably AWS);
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Causal inference Classification Clustering CX Engineering Machine Learning Predictive modeling Python Statistics UX
Perks/benefits: Startup environment
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