Match Profiler is an Information Systems consultant who has been working in the national and international market since 1999.
We have multidisciplinary skills and IT know-how that allow us to contribute, optimize and progress with our clients.
We are currently recruiting, for integration in our internal team/client, professionals with the following profile: Data Scientist (m/f) – Hybrid (Lisbon) What do you need to have: Hard Skills:
- Higher education in a STEM related field, with major statistics or mathematics components
- Five to ten years of experience in Data Science / ML projects
- Professional experience in end-to-end data science / machine learning initiatives, encompassing data understanding, preparation, modelling and evaluation, and deployment
- Solid command of data science concepts and principles - especially around EDA, modelling and evaluation
- Professional experience with Python and industry standard Python data science / ML frameworks (e.G.
scikit, pytorch, keras, opencv, pandas, others)
- Professional experience in data preparation/transformation (e.G.
SQL, pandas)
- Professional experience working with a cloud environment is mandatory, AWS highly preferred
- Experience with LLM, RAG, and Generative AI technologies is highly preferred
- Professional experience with Databricks is highly valued
- Excellent fluency in English, written and spoken Soft skills
- Good communication
- Team spirit
- Proactivity
- Time management What we can offer:
- Personalized support from your team
- Your manager will take into consideration your motivations and suggestions
- Victories will be celebrated together
- Your HR and Support Teams will always be available to help
- Constant feedback on your work
- A network of hundreds of partnerships with companies from numerous sectors that offer you exclusive discounts (health, well-being, travel, gastronomy, culture, leisure, training, etc)
- And, of course, many gatherings and social events To respond to this opportunity, send us your CV to the following e-mail address