Deep technical and data science expertise, with demonstrated experience in one or more of the following areas: Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), design of experiments, segmentation/clustering methods, mixed-integer linear optimization. Education/Experience Required: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; 3-8 years of relevant industry work experience in Data Science.