Engages with business leaders and team members including data analysts and data engineers to understand the needs of the business, turns needs into data requirements, and structures data-based solutions as required to support business objectives.
The successful candidate will join a multi-disciplinary team of scientists dedicated to advance and use computational methods to solve challenging industrial problems. ExxonMobil offers an excellent working environment and a competitive compensation and benefits package.
Research efforts may require analyzing complex heterogeneous spatial and temporal business data sets; modeling large scale linear, nonlinear, and stochastic mathematical optimization models; and developing efficient optimization algorithms.
Designs and develops enterprise-wide data analysis and reporting solutions against data warehouses and other reporting repositories to help business users make decisions by identifying trends and patterns in stored operational data.