Requires a Masters degree in Statistics, Analytics, Computer Science or a related field of study plus 3 years of experience in each of the followingbr Applying business logic to extract and cleanse large datasets from structured and unstructured data sources.br Python, including familiarity with Pandas, Scikitlearn, Seaborn and Matplotlib.br Statistical and machine learning algorithms.br Relational databases using SQL.br Data visualization tools.br Delivering endtoend data science products from research and discovery to operationalization and production.br Developing and deploying automated data pipelines using cloud services.br Building, deploying, and maintaining operational models processing a large quantity of data in realworld production environments.br Mentoring data scientists and analysts to help them grow in both technical skills and business acumen.
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