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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 the 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
Senior Level - Five to ten years of experience in Data Science / ML projects
Senior Level - Professional experience in end-to-end data science / machine learning initiatives, encompassing data understanding, preparation, modelling and evaluation, and deployment. This is mandatory.
Senior Level - Solid command of data science concepts and principles - especially around EDA, modelling and evaluation - is mandatory.
Lead Level - Excellent fluency in English, written and spoken, is mandatory. All business discussions will be conducted in English.
Senior Level - Professional experience with Python and industry standard Python data science / ML frameworks (e.g. scikit, pytorch, keras, opencv, Pandas, others) is mandatory
Senior Level Professional experience in data preparation/transformation (e.g. SQL, pandas) is mandatory.
Mid-Level - Professional experience working with a cloud environment is mandatory, AWS highly preferred.
Mid-Level - Experience with LLM, RAG, and Generative AI technologies is highly preferred.
Junior Level - Professional experience with Databricks is highly valued

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