As an AI and Data Science Engineer II, you will translate business goals into machine learning use cases and model designs, perform exploratory data analysis to identify patterns and attribution opportunities, and apply clustering, sampling, and predictive modeling techniques to develop solutions. You'll build proofs of concept, validate model performance, and collaborate with clients and cross-functional analytics and data engineering teams throughout solution delivery.… The role requires a bachelor's degree in a quantitative field and 2+ years of industry experience applying data science or machine learning methods.
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