Data Scientist

Chevron Corp.; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement plan

Training and development

Job summary

Chevron seeks a Data Scientist to translate business opportunities into data, AI, and ML solutions that deliver measurable value. You will frame problems, prototype AI-enabled products, and support scalable adoption across Upstream, Midstream, Downstream, and enterprise functions.

The role requires strong Python skills, Azure familiarity, and expertise in data quality, governance, and responsible AI practices, with 5+ years of applied analytics experience.

Qualifications

• Minimum 5 years of experience applying advanced analytics techniques.

Responsibilities

• Identify and frame opportunities to apply data science, ML, AI, GenAI-enabled workflows, and related technologies to improve decision-making, workflow efficiency, automation, and business outcomes.
• Define expected business value, success measures, and adoption considerations for proposed opportunities.
• Identify needed data and appropriate technology to solve identified business challenges.
• Clean data and develop and test models.
• Establish the lifecycle management process for models.
• Engage stakeholders to communicate progress, quantify impact and support adoption.

Job description

Chevron is accepting online applications for the position Data Scientist through 10/07/2026 at 11:59 p.m. (Central Time).

Join our Team

The Data and AI and Enterprise AI organizations are responsible for providing data science, machine learning engineering expertise, and solution delivery across Chevron. Practitioners collaborate todriveinnovation anddigital transformation to support the future of energy.

Data and AI capabilities support decision-making, automation, optimization, and innovation across the Chevron value chain, including Upstream, Midstream, Downstream, and enterprise functions. This role applies data science, machine learning, and AI-enabled approaches to solve business problems and deliver measurable outcomes.

The Role

• The function of this role is to partner with the business to translate opportunities into data, AI, and machine learning solutions that deliver measurable business value.
• The successful candidate will have the skills to frame business problems, prototype and build data science and AI-enabled products, and support adoption of scalable solutions.

As a Data Scientist, you will:

• Identify and frame opportunities to apply data science, machine learning, AI, GenAI-enabled workflows, and related technologies to improve decision-making, workflow efficiency, automation, and business outcomes.
• Define the expected business value, success measures, and adoption considerations for proposed opportunities.
• 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.
• Engage business stakeholders, product owners, and technical teams to communicate progress, quantify impact, support adoption, value and identify additional opportunities.
• Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills.

Requirements

Experience

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

Skills

• Demonstrated depth applied data science and ML 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
• Strong business problem framing skills, with the ability to translate business needs into data science, AI, and machine learning opportunities that deliver measurable value.
• Awareness of data quality, data governance, metadata, lineage, and responsible use of enterprise data in analytics and AI solutions.
• Familiarity with model lifecycle management and MLOps practices, including model documentation, monitoring, performance management, retraining, and responsible deployment.
• Strong communication and stakeholder engagement skills, with the ability to build collaborative relationships across functional and geographic areas and explain technical concepts to business audiences.
• Responsible AI mindset, including consideration of privacy, security, transparency, fairness, human oversight, and appropriate governance when developing or applying AI-enabled solutions.
• Preferred: domain experience in upstream, midstream, downstream, or enterprise functions, with demonstrated ability to learn and apply business context quickly.

Preferred Education

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

Flexible Working

Chevron offers a complete package and provides career development opportunities to all employees. We do this through on-boarding, training and development, mentoring, volunteering opportunities and employee networking groups. We advocate work-life balance and offer employees access to various health and wellness programs.

Relocation Options:

Relocation will not be considered.

International Considerations:

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.

Working with us

• DEI statement, recognition, culture, etc.
• Company benefit paragraph

Benefits

Chevron offers competitive compensation and benefits programs which includes, but is not limited to, variable pay, healthcare coverage, retirement plan, insurance, time off programs, training and development opportunities and a range of allowances connected to specific work situations. Details of such benefits and allowances are available at https://hr2.chevron.com/.

The compensation and reference to benefits for this role is listed on this posting in compliance with Colorado law. The selected candidate’s salary will be determined based on his or her skills, experience, and qualifications.