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Data Scientist
Amadora
Job description
The focus of the service is for
collaboration in one of the many data science projects running at our client,
as well as supporting our teams in running tasks like exploratory data
analysis, visualization, ML modelling, evaluation and deployment.
Requirements
- 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. This is mandatory.
- Solid command of data science
concepts and principles - especially around EDA, modelling and evaluation - is mandatory.
- Excellent fluency in English,
written and spoken, is mandatory. All business discussions will be conducted in English.
- Professional experience with
Python and industry standard Python data science / ML frameworks (e.g. scikit, pytorch, keras, opencv, pandas, others) is mandatory.
- Professional experience in data
preparation/transformation (e.g. SQL, pandas) is mandatory.
- 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
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