Senior Data Scientist

Houston, TX, US

ExxonMobil

ExxonMobil scientists are pioneering new research & technologies to reduce emissions. Learn how we are responsibly meeting the world's energy needs.

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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 Houston here.

 

What you will do

 

  • Lead the scoping, design, development, and deployment of AI/ML solutions focused on optimizing subsurface and well-related operations.
  • Collaborate with data and machine learning engineers to operationalize models and ensure seamless integration with existing digital infrastructure.
  • 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.

 

What role will you play in the team

 

  • 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.

 

About you

 

Skills / Qualifications

 

  • Over 5 years of professional experience in developing and deploying AI/ML solutions, with a strong background in applying these technologies to physical systems and engineering workflows.
  • Deep expertise in algorithms related to at least one of the following domains: time series analysis, natural language processing (NLP), computer vision, or agentic technology with the ability to understand underlying mathematics and develop novel algorithms.
  • Proven track record of successfully developing and deploying multiple end-to-end AI/ML solutions in business environments.
  • Proficient in Python and widely used ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Proven ability to uncover meaningful insights from complex datasets.
  • Strong drive to hands-on test hypotheses and quickly validate 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 Knowledge/Skills

  • Experience in the energy industry, preferably with a focus on subsurface or well-related topics.
  • Proficient in using the Databricks platform.
  • Demonstrated ability to thrive in a collaborative Agile product team setting.

 

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.

 

Stay connected with us

 

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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.

Job ID: 80901

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Agile Computer Science Computer Vision Databricks Engineering Finance Machine Learning Mathematics NLP PhD Python PyTorch Research Scikit-learn Security TensorFlow

Perks/benefits: Career development Health care Team events

Region: North America
Country: United States

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