Energy Job Search ยท 1 day ago
Data Scientist - Enterprise AI
Houston, TX
Full-time
Onsite
Senior Level
5+ years expChevron is a leading energy company, and they are seeking a Data Scientist to join their Enterprise AI team. The role involves applying machine learning and advanced analytics to deliver impactful insights and AI-driven products across Chevron's strategic initiatives while collaborating with cross-functional teams to enhance decision-making and operational efficiency.
Staffing & Recruiting
No H1B
Responsibilities
Architect AI Solutions:Identify, frame, and design advanced analytics and AI solutions-including agentic AI systems, predictive models, and optimization algorithms-to 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 Chevron's most critical business challenges
Qualification
Required
Bachelor's degree and Master's 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 Chevron's key business units and functions
Preferred
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
Company
Energy Job Search
Join 3,000,000+ energy professionals who trust us to power their careers.
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase