Grupo QuintoAndar | Senior Data Scientist, Lisboa
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Client:
Location:
Lisboa, Portugal
Job Category:
Other
-$0-0/monthly
EU work permit required:
Yes
Job Views:
12
Posted:
24. 01. 2025
Expiry Date:
10. 03. 2025
Job Description:
About Quinto
Andar Group
Grupo Quinto
Andar is the most valuable real estate tech company in Latin America, it was born in Brazil to do something very rewarding: open doors. We opened doors for technology to be part of living. And, through it, we reduce the bureaucracy and simplify the experience of the whole real estate ecosystem, including those renting, buying, and selling homes, as well as real estate brokers, agencies, and other partners of the real estate market.
Together, our leading brands offer solutions covering all stages of the housing journey, namely: Immuebles24 (Mexico), Zonaprop (Argentina), Adondevivir & Urbania (Peru), Plusvalia (Ecuador), Imovel
Web and Quintoandar (Brazil)
Backed by a
- class team of investors and advisors, such as Kaszek, Qualcomm, General Atlantic, and Softbank, Quinto
Andar Group is currently valued at over $5. 1 billion and continues to grow
-
- year.
To make all this happen, we have more than 3, 500 talented people, working with
- edge technology and best design practices to ensure a seamless experience throughout the sales and rental process, combined with smart financial products. Here you will work with the best professionals in the market, in an environment that breathes innovation, collaboration, and high performance.
To learn more about our history, visit Quinto
Andar.
Life at Lisbon Tech Hub
In 2022, Quinto
Andar proudly opened its first European tech hub in Lisbon, marking a significant milestone in our global expansion, aiming to tap into a new tech ecosystem, attract top talents, offer international opportunities for Brazilian employees, and enhance cultural diversity.
Our Lisbon tech hub is home to a team of over 30 experienced engineers, designers, product managers, and data scientists. As we continue to grow in the coming years, we are excited to expand this talented team even further.
You'll collaborate closely with teams primarily based in Brazil, contributing to our innovative projects on a global scale. Join us at Quinto
Andar Lisbon and help shape the future of real estate technology.
Location
At Quinto
Andar, we embrace a
- first philosophy, allowing you to work from anywhere in Portugal. However, for those who prefer
- person collaboration, we offer a vibrant office in Lisbon's historic center.
Stages of the Selection Process
Our selection process currently lasts an average of 40 days, from application to completion of the assessment. Going through:
- Application Screening
- Technical Interview with Data Products Teams
- Phone interview with Recruiters
- Offer
Data & AI at Quinto
Andar:
Join our Data & AI team and become a key part of our product squads, delivering features that enrich our product and uphold the
- 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 intelligent search and recommendation systems, enhancing customer experiences with ML (such as our Gen
AI-powered chatbot and automatic ticket routing), pricing and liquidity models, credit, income, and collection models, and develop 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 search and recommendations.
- 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.
- Expert knowledge of machine learning concepts: regression and classification, clustering, neural networks, feature selection,
- validation,
- variance tradeoff, model explainability, etc. - Practical experience with Deep Learning, 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 computer science, machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing or other relevant fields.
- Have experience with technical advice for other data scientists (technical leadership).
- Have experience with Information Retrieval, Search Ranking and Recommendations.
- Have experience working at
- growing startups.
Important:
- Our selection process starts with registration! If you really want to be part of our team, take care of this step of the process. We analyze all candidates individually and give feedback even to those who do not follow the process.
- All communication is done by email, so stay tuned for our messages and release the domain @quintoandar.com. br so our emails don't end up in spam.
- Health insurance (Multicare), w/
- part (in Portugal) - Work
- home allowance: 40, 00 EUR/month - Transportation: 40, 00 EUR/month
- 25 vacation days per year
- Life insurance
- Child care allowance (children up to 5 years old): 100, 00 EUR/month
- Maternity and paternity leave extended to 180 and 30 days, respectively
- 10 consecutive extra days of paid recess at the end of the year, not discounted on your vacation.
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information.
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