Data Scientist II

Under general supervision, advances' broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in projects, platforms and products. Anchors current best practices by supporting the design and build of reusable data science assets. Simultaneously works to keep on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Applies descriptive, diagnostic, predictive, prescriptive and ensemble modeling, statistical techniques, and use of database tools and/or other approaches in quantitative analysis of complex business situations. Provides recommendations to moderately complex issues through knowledge of data scientific methods and machine learning / data engineering practices. Works in tandem with data scientists in peer positions Additional Job Description Minimum Education: Master's degree (or equivalent) in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field.