Data Scientist

2 semanas atrás

Lisboa, Lisboa, Portugal Decskill Tempo inteiro
Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:

- DECSKILL TALENT: We believe that our people are key to our success.
- Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth.
- DECSKILL BOOST: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.
- DECSKILL CONNECT: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.

At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.

We are looking for a Data Scientist with the following qualifications:

1. Experience in project and team management.
2. MSc or PhD in Computer Science, Engineering, Mathematics, or a related field (MSc/PhD in Data Science is a plus).
3. +4 years of professional experience as a Data Scientist or a similar role.
4. Proven knowledge and experience in Machine Learning, NLP, and text dataset curation.
5. Hands-on experience in coding for real-world data analytics applications.
6. Experience in NLP tasks, such as Text Classification, NER, and Information Retrieval.
7. Experience working with LLMs, OpenAI API (or equivalent), and RAG.
8. Proficiency in Python and ML/DL packages (PyTorch, NumPy, Scikit-Learn, Pandas).
9. Solid mathematical foundations and experience in statistical consultancy.
10. Strong business sense with the ability to quickly understand use cases.
11. Familiarity with data engineering, modeling, and business analysis.
12. Fluency in English and Portuguese.
13. Experience with Cafe.
14. Programming languages like Java, R, and C++.
15. Knowledge of cloud tools such as Azure, AWS, Google Cloud.
16. Experience with MLOPs practices.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Consulting

Industries

IT Services and IT Consulting

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