Understand value of proposed opportunity. Identify needed data and appropriate technology to solve identified business challenges. Clean data and develop and test models. Establish the life cycle management process for models. Work with team lead to establish business stakeholder engagements to share team's accomplishments and to identify additional opportunities. Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills. Minimum 5 years of experience in applying advanced analytics techniques. Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining) Working knowledge of Microsoft Azure and tools in its ecosystem Proficiency in Python and R. Ability to engage business and technical experts at all organizational levels and assess opportunities to apply data science analytics to improve their workflows, and deliver information and insight to support business decisions. Demonstrated working knowledge of upstream, midstream, or downstream. B.S. or M.S. in Mathematics, Statistics, Operations Research, Data Science, Computer Science, Management Information Systems, Mathematics or Engineering
