Data Scientist Enterprise AI
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Job Location:
Houston, MS - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Total Number of Openings
1Chevron is accepting online applications for the position Data Scientist - Enterprise AIthrough January 20 2026 at 11:59 p.m. (Central Time).
Join Chevrons Enterprise AI team to shape the future of intelligent decision-making and AI transformation for the company. As a data scientist you will apply machine learning optimization methods advanced analytics to deliver impactful insights and AI-driven products across Chevrons key strategic initiatives.
This role is ideal for scientists passionate about data-driven innovation modern AI architectures and solving complex business challenges through rigorous modeling and experimentation. You will design and deploy scalable production-ready models architect solutions with a holistic AI foundation and create reusable analytical assets that accelerate Chevrons AI strategy.
Key Responsibilities:
- Architect AI Solutions:Identify frame and design advanced analytics and AI solutionsincluding agentic AI systems predictive models and optimization algorithmsto improve decision-making workflow automation and operational efficiency.
- Develop and Deploy Models:Build test and operationalize machine learning models and data science products using primarily AzureML DataRobot Databricks while maintaining flexibility to leverage other services as business needs evolve. Ensure solutions are scalable future-proofed and aligned with the enterprise AI best practices.
- Enable Reusable AI Assets:Create modular reusable feature stores model components and pipelines that support multiple AI applications and accelerate delivery across the enterprise.
- Collaborate Across Disciplines:Work closely with AI delivery teams including software engineers AI engineers and applied scientists to integrate models into production systems and/or agentic AI workflows.
- Data Preparation and Feature Engineering:Source clean and transform structured and unstructured data for modeling leveraging Databricks Spark AzureML and advanced feature engineering techniques.
- Model Lifecycle Management:Establish robust model governance monitoring and retraining processes to ensure reliability fairness and compliance throughout the model lifecycle.
- Innovation and Continuous Learning:Stay ahead of emerging trends in AI/ML generative AI and agentic systems applying cutting-edge techniques to Chevrons most critical business challenges.
Required Qualifications:
- Bachelors degree and Masters degree in computer science mathematics statistics data science or a related quantitative field in engineering and able to demonstrate high proficiency in programming fundamentals.
- 5 years of experience in applying analytics and machine learning in enterprise environments
- Hands-on experience with Microsoft Azure and tools in its ecosystem
- Strong proficiency in Python with experience in ML frameworks (e.g. scikit-learn TensorFlow PyTorch etc.)
- Deep understanding of statistical modeling optimization and data mining techniques
- 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
- Ability to build collaborative relationships across functional and geographic areas to plan facilitate and develop advanced analytics solutions for key Chevrons key business units and functions.
Preferred Qualifications:
- Experience with agentic AI architectures generative AI and reinforcement learning.
- Familiarity with MLOps CI/CD for ML AzureDevOps Git and model deployment in Azure environments.
- Knowledge of oil and gas industry workflows (upstream downstream supply & trading and corporate functions).
- Strong technical leadership and mentoring capabilities.
Relocation Options:
Relocation may 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.
U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religious creed sex (including pregnancy) sexual orientation gender identity gender expression national origin or ancestry age mental or physical disability medical condition reproductive health decision-making military or veteran status political preference marital status citizenship genetic information or other characteristics protected by applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation please email us at .
Chevron participates in E-Verify in certain locations as required by law.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Chevron works to meet the world's growing demand for energy by exploring for oil and natural gas; refining and marketing gasoline; producing chemicals and more.
