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Data Scientist
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- The Data Scientist is expected to pull data from source systems; explore, validate, clean, and transform the data; leverage a wide range of algorithms and analytical approaches including Business Intelligence (BI), Machine Learning (ML), Natural Language Processing (NLP) and Artificial Intelligence (AI); deliver intelligence with full reproducibility; test and deploy the intelligence products following MLOps and DataOps best practices; and communicate results and insights to key stakeholders.
- Knowledgeable about deep learning frameworks such as TensorFlow or PyTorch.
- Knowledgeable about prompt engineering, Retrieval-Augmented Generation (RAG) and LLM evaluation techniques.
- Expertise programming in Python, R, Spark and other relevant languages for data science
- Expertise working with BI and visualization platforms such as Tableau and Power BI
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