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Data Scientist, Upstream Development

Job in Spring, Harris County, Texas, 77391, USA
Listing for: Exxon Mobil
Full Time position
Listed on 2026-05-08
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

What you will do

Lead the design, development, and deployment of advanced AI/ML solutions for upstream oil & gas subsurface & well operations such as physics-informed Machine Learning (ML) and production optimization. You will work end-to-end from problem framing and experimentation through production and sustainment partnering with engineers and business stakeholders to deliver scalable, reliable, and impactful solutions.

What role will you play in the team
  • Lead end-to-end delivery of AI/ML solutions: scoping, modelling, evaluation, deployment, and monitoring.
  • Collaborate with cross‑functional teams to translate business problems into mathematical frameworks.
  • Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance.
  • Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time‑series, optimisation, or commercial analytics models.
  • Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimisation).
  • Mentor peers and contribute to internal AI capability building.
About you

Desired Skills

  • 5+ years of direct experience delivering production AI/ML solutions.
  • Experience applying data science to upstream oil & gas workflows, including exploration, drilling and reservoir management; analysing well logs, seismic data and production metrics to support operational and strategic decisions.
  • Strong foundations in statistics, probability and algorithm design.
  • Proficiency in Python and ML frameworks (PyTorch, Tensor Flow, scikit‑learn); experience with Databricks/Spark.
  • Familiarity with GenAI frameworks (Lang Chain, Prompt flow) and/or optimisation libraries.
  • Experience with MLOps, model governance and explainable AI techniques (e.g., SHAP, LIME).
  • Excellent communication and collaboration skills.

Preferred Knowledge/Skills

  • Knowledge graphs, hybrid search/RAG and semantic technologies.
  • Agile development and software engineering best practices.

Educational Background Recommended

  • Master’s or PhD in Data Science, Computer Science, Engineering, Applied Math or a related field.

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 programmes such as “Flex your Day”, providing ad‑hoc flexibility around when and where you work, as well as longer‑term programmes 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 Programme:
    Provides confidential professional counselling 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.

Nearest Major Market: Houston

Job Segment: Sustainability, Cloud, Developer, Software Engineer, Computer Science, Energy, Technology, Engineering

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