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Data Scientist (Senior)
Amadora
Job description
The focus of the service is for collaboration in one of the many data science projects running at our partner, as well as supporting their teams in running tasks like exploratory data analysis, visualization, ML modelling, evaluation and deployment.
Requirements
- Higher education in a STEM (science, technology, engineering, and math) 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
- Senior Level 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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