Energy Job Search ยท 5 hours ago
GenAI Data Scientist, Subsurface & Well Operations
Houston, TX
Full-time
Onsite
Senior Level
5+ years expExxonMobil is one of the world's largest publicly traded energy and chemical companies, focused on energy innovations for a net-zero future. The role involves leading the development and deployment of AI/ML solutions, particularly in Generative AI applications for subsurface and well-related operations, while collaborating with various teams to enhance organizational capabilities in AI/ML.
Staffing & Recruiting
Responsibilities
Work on complex AI use cases from ideation and discovery through deployment and sustainment as part of integrated, enterprise-level teams
Collaborate with ExxonMobil subject matter experts to strengthen organizational capabilities in AI/ML
Support business teams in making impactful, data-driven decisions
Lead the scoping, design, development, and deployment of AI/ML solutions, primarily focused on Generative AI applications for subsurface and well-related operations
Collaborate with data and machine learning engineers to operationalize models and ensure seamless integration with existing digital infrastructure
Build and deploy AI system components (such as chatbots, agents, and other workflow automation components) capable of interacting with diverse data sources and providing insightful information to users
Develop and implement solutions involving orchestration of multiple AI agents to achieve complex tasks
Apply domain knowledge and physical principles to improve model accuracy and reliability
Contribute to the growth of internal AI capabilities by sharing expertise and developing best practices
Provide technical mentorship and guidance to colleagues across teams
Work closely with team leads and subject matter experts to align on project priorities, strategy, and solution design
Optimize end to end AI solutions to enhance performance, usability, and cost
Work closely with business to understand business problem and translate that into mathematical framework. Also, work with business to help enhance business adaptability for the solution
Validate AI system responses, including troubleshooting prompt engineering, agentic workflows and other aspects of a GenAI system
Develop process and automation for accelerating validation of AI systems, while ensuring the proper degree of accuracy is maintained
Qualification
Required
5+ years of professional experience in developing and deploying AI/ML solutions, with a strong emphasis on Generative AI technologies and a solid background in applying these methods to physical systems and engineering workflows
Deep expertise in natural language processing (NLP), large language models (LLMs), and building agentic workflows for Generative AI with the ability to understand underlying mathematics and develop novel algorithms
Solid understanding of knowledge graphs, ontologies, and semantic technologies
Solid foundation and experiences in AI/ML on data processing, probability and statistics, EDA, feature engineering, modeling strategy, model development, and explainable AI
Proven track record of successfully developing and deploying multiple end-to-end Generative AI solutions, notably multi-agent systems, in business environments
Proficient in Python and widely used ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
Proficient in Generative AI frameworks such as Langchain, Promptflow, or Copilot Studio
Proven ability to uncover meaningful insights from complex datasets
Strong drive toward hands-on testing of hypotheses and rapid validation of assumptions through data
Strong communication, collaboration, and problem-solving skills
Advanced degree (Master's or PhD) in Data Science, Computer Science, Engineering, or a related field
Preferred
Experience in the energy industry, preferably with a focus on subsurface or well-related topics
Experience in implementing hybrid search systems in conjunction with Large Language Models, e.g. Retrieval Augmented Generation (RAG) solutions
Proficient in using the Databricks platform, Azure Open AI, Azure managed NLP services and OCR technologies
Demonstrated ability to thrive in a collaborative Agile product team setting
Benefits
Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
Workplace Flexibility: We have several programs such as "Flex your Day", providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
Comprehensive medical, dental, and vision plans.
Culture of Health: Programs and resources to support your wellbeing.
Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.
Company
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201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase