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project lifecycle: meeting with clients, identifying opportunities, translating business needs into technical work plans, developing statements of work, executing analyses and models, and delivering
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models and other data products for clients. They have an understanding of data science workflows as well as technical expertise pertaining to solution architectures and data engineering that will support
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