Job Description: Data Scientist:
This position is part of an internal data science consulting team responsible for the delivery and support of analytic capabilities for Chevron upstream, midstream, downstream, and corporate functions. The function of this role is to partner with the business to identify opportunities to apply analytic tools and data science to achieve business value. The successful candidate that fills this position will have the skills to design, prototype, create, and support analytical solutions and insights.

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

• Identifying and framing opportunities to apply advanced analytics, modeling, and related technologies to data in order to help Chevron businesses gain insight and improve decision making, work flow, and automation. Understanding value of proposed opportunity.
• Identifying data necessary and appropriate technology to solve business challenges identified.
• Cleaning data, developing models, and testing models.
• Establishing the life cycle management process for models.
• Work with team lead on engaging business regularly to share team's accomplishments and to identify additional opportunities.
• Providing technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills.

Required Qualifications:

• 3- 10 Yrs exp with at least 2 yrs Relevant exp
• Development, Testing and Deployment of AI ML solutions(Traditional ML Models, Boosting Algorithms, Supervised/ Un supervised learning, Neural Network, Computer Vision, Time series forecasting, XAI )
• Strong proficiency and Hands-on development exp in Python for AI/ML /DL / LLM frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Langraph & Promflow, Symentic kernel).
• Strong knowledge of ML engineering: feature engineering, training pipelines, evaluation, inference optimization.
• Experience with Azure (or equivalent cloud) services for AI delivery, including compute, storage, networking, and security.
• Hands-on experience with containerization and orchestration (Docker, Kubernetes) and API development (REST/ gRPC).
• Practical experience with MLOps( eg: ML Flow ) tooling and practices (CI/CD, model registry, monitoring, drift detection).
• Development, Testing and Deployment of AI ML solutions
• Experience with model monitoring/observability and production operations (logging, metrics, tracing).
• Deep Understanding of GenAI/LLM solution design (RAG, embeddings, prompt engineering, evaluation, guardrails, Vector DB).
• Knowledge of secure engineering practices, secrets management, IAM/RBAC, and enterprise governance standards.
• BS or MS degree in Operations Research, Computer Science, Management Information Systems, Mathematics or Engineering degree required. Minimum 3 years' experience in applying advanced analytics techniques.

Preferred Qualifications:
• Experience in regulated or enterprise environments (e.g., oil & gas, energy, finance ,healthcare).
• Academic Publications and Patents

What we can offer you

Everything we do at Chevron is guided by our values and our commitment to The Chevron Way .

Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.

• Join a workplace where innovation, collaboration and safety are at the core of how we work.
• Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.
• Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron's values and business priorities.
• Access comprehensive benefits that support your health, well-being, and work-life balance.
• Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.

How to apply

To be a part of our success, click APPLY to submit your application.

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

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Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.

Privacy Terms and Conditions

We respect the privacy of candidates for employment. This Privacy Notice sets forth how we will use the information we obtain when you apply for a position through this career site. If you do not consent to the terms of this Privacy Notice, please do not submit information to us.

Please access the Global Application Statements , select the country where you are applying for employment. By applying, you acknowledge that you have read and agree to the country specific statement.

Terms of Use