GenAI Data Scientist: Supply Chain & Trading

Exxon Mobil; Spring (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Pension Plan

Savings Plan

Workplace Flexibility

Comprehensive health plans

Job summary

ExxonMobil is seeking a GenAI Data Scientist to lead the design, development, and deployment of Generative AI solutions for subsurface and well-related operations in Spring, TX. You will collaborate with data and ML engineers to operationalize models and integrate with existing digital infrastructure.

The role emphasizes building agentic workflows, validating system responses, and mentoring colleagues across teams, with a focus on performance, usability, and cost optimization.

Qualifications

• 5+ years of professional AI/ML deployment experience.
• Generative AI methods applied to physical systems/engineering workflows.
• Experience with NLP, LLMs, and agentic workflows.

Responsibilities

• Lead design and deployment of GenAI/AI/ML solutions for subsurface and well operations.
• Collaborate with data and ML engineers to operationalize models.
• Develop AI system components (chatbots, agents, workflows) for diverse data sources.
• Validate AI system responses and optimize end-to-end performance.

Skills

Generative AI

NLP

LLMs

Python

TensorFlow

PyTorch

Scikit-learn

Langchain

Prompt engineering

Education

Master’s or PhD in Data Science/CS/Engineering

Tools

Databricks

Azure OpenAI

OCR technologies

Job description

ExxonMobil is seeking a GenAI Data Scientist to lead the design, development, and deployment of Generative AI solutions for subsurface and well-related operations in Spring, TX. You will collaborate with data and ML engineers to operationalize models and integrate with existing digital infrastructure.

The role emphasizes building agentic workflows, validating system responses, and mentoring colleagues across teams, with a focus on performance, usability, and cost optimization.