Data Scientist

Chevron is accepting online applications for the position Data Scientist through 09/09/2025 at 11:59 p.m. (Central Time)

Join our Team 

The Data Science & Analytics chapter is responsible for providing Data Science, machine learning engineering expertise, and solution delivery across Chevron. Data Science & Analytics practitioners collaborate to drive innovation and digital transformation to support the future of energy. 

Data Science touches all parts of the Chevron value chain (Upstream, Midstream, and Downstream) as we try to enhance business decision making process through effective use of data science modeling techniques. 

The Role 

• The function of this role is to partner with the business to identify opportunities to apply data science approaches and create data science products that deliver business value. 

• The successful candidate that fills this position will have the skills to identify, prototype, and build data science products.  

Responsibilities for this position may include but are not limited to:

• 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. 

• Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills. 

Required Qualifications:

Experience 

• Minimum 5 years of experience in applying advanced analytics techniques. 

Skills 

• 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.  

• 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. 

Preferred Education 

• B.S. or M.S. in Mathematics, Statistics, Operations Research, Data Science, Computer Science, Management Information Systems, Mathematics or Engineering  

Relocation & International Considerations 

• Relocation may be considered. 

• Expatriate assignments will not be considered. 

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.