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data warehousing, integration, and management of large datasets. Strong foundation in computer science, mathematics, and statistics. Knowledge of data engineering tools and techniques, including ETL
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in R statistical software and Python with Numpy, Scikit-learn, and Pandas. Some experience with machine learning pipelines will be helpful. Experience in software deployment with cloud services, e.g
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