Data Scientist, Upstream Operations

Exxon Mobil
Spring, Montgomery County, TX
What role you will play in our team

  • Work on complex data science and AI/ML use cases focused on upstream oil & gas operations - from ideation and discovery through deployment and sustainment - as part of integrated, enterprise-level teams.
  • Collaborate with ExxonMobil operations engineers, field personnel, and subject matter experts to drive data-driven decision-making across upstream production and operational workflows.
  • Support the transition and integration of upstream digital analytics capabilities into the Modeling, Optimization, and Data Science (MODS) organization, ensuring continuity and enhancement of existing solutions.
What you will do

  • Lead the design, development, and deployment of advanced AI/ML solutions for upstream oil & gas operations, including production optimization, predictive maintenance, anomaly detection, and operational efficiency improvements.
  • Analyze production data, well performance metrics, sensor/IoT data, and operational logs to identify patterns, forecast outcomes, and uncover opportunities for value creation.
  • Collaborate with cross-functional teams - including production engineers, reservoir engineers, and field operations staff - to translate operational challenges into mathematical frameworks and data-driven solutions.
  • Build and deploy end-to-end AI/ML solutions in one or more upstream operations domains, applying best practices for data quality, explainability, and governance.
  • Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or predictive analytics models tailored to upstream operational needs.
  • Apply domain knowledge and physical principles to improve model accuracy and reliability in production and operations contexts.
  • Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
  • Work closely with business stakeholders to understand operational problems, communicate analytical findings, and drive adoption of data science solutions.
  • Contribute to the migration and enhancement of upstream digital analytics (UDA) tools, models, and workflows into the MODS framework.
  • Mentor peers and contribute to internal AI capability building.
About you

Minimum Skills & Qualifications:

  • 5+ years of direct experience delivering production AI/ML solutions, preferably in an upstream oil & gas or heavy industrial operations environment.
  • Experience applying data science to upstream operations workflows, including production monitoring, well performance analysis, equipment reliability, process optimization, or operational planning.
  • Demonstrated ability to work directly with business and operations teams to identify opportunities, scope analytical solutions, and deliver measurable impact.
  • Strong foundations in statistics, probability, and algorithm design.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark.
  • Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
  • Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
  • Excellent communication, collaboration, and problem-solving skills.
Preferred Knowledge & Skills:

  • Experience in the energy industry, specifically in upstream production operations, thermal/heavy oil operations (e.g., SAGD, CSS), or similar asset-intensive environments.
  • Cloud platforms (Azure ML, Azure OpenAI, Databricks).
  • Knowledge graphs, hybrid search/RAG, and semantic technologies.
  • Experience with time series analysis, anomaly detection, or predictive maintenance solutions for industrial operations.
  • Familiarity with production data systems (e.g., SCADA, PI/OSIsoft, production databases).
  • Agile development and software engineering best practices.
Educational Background Recommended:

  • Master's or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field.
Your benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.

We offer you:

  • 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.

  • More information on our Company's benefits can be found at

  • Please note benefits may be changed from time to time without notice, subject to applicable law.

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Nearest Major Market: Houston
Job Segment: Cloud, Software Engineer, Computer Science, Engineer, Scientific, Technology, Engineering
Posted 2026-05-12

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