Data Scientist

Exxon Mobil; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Pension Plan

Savings Plan

Workplace Flexibility

Medical, dental, vision

Culture of Health

Employee Health Advisory Program

Disability Plan

Job summary

ExxonMobil in Houston is recruiting multiple Data Scientists to lead the design, development, and deployment of advanced AI/ML solutions across domains such as GenAI, time series, optimization, and commercial analytics. You will work end-to-end with engineers and business stakeholders to deliver scalable, reliable AI assets.

The role emphasizes production readiness, governance, and collaboration, with a focus on energy transitions and lower-emission technologies.

Qualifications

• 5+ years of delivering production AI/ML solutions.
• Experience with GenAI frameworks and MLOps.
• Strong foundations in statistics, probability, and algorithms.

Responsibilities

• Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, monitoring.
• Collaborate with cross-functional teams to translate business problems into mathematical frameworks.
• Build GenAI, time series, optimization, or commercial analytics models.
• Ensure production readiness via MLOps, CI/CD, monitoring and cost optimization.
• Mentor peers and contribute to AI capability building.

Skills

5+ years

GenAI/NLP

Time series

Optimization

Commercial analytics

Subsurface/Wells

Computer vision

Python

ML frameworks

LangChain

Promptflow

MLOps

Explainable AI

Communication

Education

Master's or PhD in DS/CS/Engineering

Tools

Databricks

Spark

PyTorch

TensorFlow

scikit-learn

Azure ML

Azure OpenAI

Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

About Houston

ExxonMobil’s state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.

By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company’s ability to attract, develop and retain the top talent in the industry.

The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.

The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world’s top academic, research, and corporate facilities.

Learn more about what we do in Houstonhere

What you will do

We are hiring multiple Data Scientists to lead the design, development, and deployment of advanced AI/ML solutions across diverse domains, including:

• Generative AI & NLP (LLMs, agentic workflows)


• Time Series Forecasting & Anomaly Detection


• Optimization & Prescriptive Analytics


• Commercial Analytics (pricing, marketing, supply chain)


• Subsurface & Wells (physics-informed ML, production optimization)


• Computer Vision & Document Intelligence

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, modeling, 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, optimization, or commercial analytics models.


• Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).


• Mentor peers and contribute to internal AI capability building.

About you

Desired Skills

• 5+ years of direct experience delivering production AI/ML solutions.


• Expertise in one or more of the following: NLP/GenAI, time series, optimization, commercial analytics, subsurface/wells, computer vision.


• 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 and collaboration skills.

Preferred Knowledge/Skills

• Cloud platforms (Azure ML, Azure OpenAI, Databricks).


• Commercial domain experience (pricing, forecasting, supply chain) or energy/subsurface expertise.


• 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 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 www.exxonmobilfamily.com.

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

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Employee equal opportunity

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co‑venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.