To enhance business decision making process through effective use of data science modeling techniques across Chevron's value chain (Upstream, Midstream, and Downstream)
Requirements
- 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
- Demonstrated working knowledge of upstream, midstream, or downstream
Responsibilities
- Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation
- 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
Other
- Minimum 5 years of experience in applying advanced analytics techniques
- 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
- Ability to build collaborative relationships across functional and geographic areas to plan, facilitate, and develop advanced analytics solutions for key Chevron’s key business units and functions
- Relocation may be considered
- B.S. or M.S. in Mathematics, Statistics, Operations Research, Data Science, Computer Science, Management Information Systems, Mathematics or Engineering (Preferred Education)
