Job Posting:https://career4.successfactors.com/sfcareer/jobreqcareer?jobId=56866&company=Phillips66

Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, create an environment of trust, seek different perspectives and achieve excellence. Phillips 66 was recognized by Forbes as one of “America’s Best Employers” in 2021.

Learn more about Phillips 66 and watch our video "Trying New Things" by visiting phillips66.com/about.

Phillips 66 is seeking applicants for a Research Engineer/Data Scientist position in the Digital Products group at its Energy Research & Innovation organization in Bartlesville, Oklahoma. The candidate will join a team working to build models to address complex problems across the businesses and research areas of Phillips 66.

Responsibilities may include:

• Use domain knowledge and advanced statistical and machine learning methods to solve science and engineering problems
• Balance pr­­iorities between multiple applied research projects and propose new research directions
• Analyze experimental, pilot plant and commercial data to develop subject specific models
• Develop broadly applicable models and tools for data analysis and visualization
• Write code for frontend and backend software to support model deployment
• Work with stakeholders to identify the value proposition
• Communicate results through reports and presentations

Qualifications

Basic/Required:

• PhD in Chemical Engineering or closely related engineering or science discipline
• Experience analyzing and interpreting data generated from chemical and physical processes
• Experience with applied statistical and machine learning approaches for data analysis
• Competence in programming using statistical and engineering languages (e.g. Python, R, Julia)
• Excellent written and oral communication skills with experience in working in collaborative team environments