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ExxonMobil

Computational Scientist

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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 and how we can.

What role will you play in our team

Join ExxonMobil's Technology and Engineering Company as a Computational Scientist. We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.

What you will do

  • Work collaboratively across global, cross-disciplinary teams, and with third parties (academia, industry) to assess, accelerate pace of computational science technology development and deployment.
  • Frame computational challenge from business needs, develop solutions that strike a balance between accuracy and runtimes, develop solutions that merge physics and data incorporating uncertainty, develop novel approaches to constrain predictive models with field data.

Skills & Qualifications

  • Master's or PhD degree from a recognized university in Engineering/Applied Mathematics/Geoscience/Computational Science with a GPA 7.0 and above (out of 10.0).
  • For candidates with only master's degree, minimum 3 years of relevant work experience is required.
  • Experience in developing, applying, and analyzing physics-based models and developing related algorithms.
  • Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis.
  • Hands-on experience with physics-based simulators and computational modeling.
  • Familiarity with surrogate modeling for optimal design and inverse problem-solving is preferred but not mandatory.
  • Exposure to hybrid modeling approaches combining data-driven and physics-based methods using machine learning tools (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Knowledge of deep learning techniques for advanced data analysis and modeling challenges is preferred but not mandatory.
  • Strong proficiency in programming/scripting languages like C++/C# or Python.
  • Experience with software engineering best practices including software testing, agile development, version control, and DevOps.
  • Prior experience in the upstream oil and gas industry is an advantage.
  • Strong communication skills and ability to work effectively in interdisciplinary teams to translate complex computational models into actionable insights.

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:

  • Competitive compensation
  • Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
  • Retirement benefits
  • Global networking & cross-functional opportunities
  • Annual vacations & holidays
  • Day care assistance program
  • Training and development program
  • Tuition assistance program
  • Workplace flexibility policy
  • Relocation program
  • Transportation facility

Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company's eligibility guidelines.

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EEO Statement

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.

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ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow theto understand more about recruitment scams in the name of ExxonMobil.

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.

More Info

About Company

Exxon Mobil Corporation, stylized as ExxonMobil, is an American multinational oil and gas corporation headquartered in Irving, Texas. It is the largest direct descendant of John D. Rockefeller's Standard Oil,and was formed on November 30, 1999, by the merger of Exxon (formerly the Standard Oil Company of New Jersey) and Mobil (formerly the Standard Oil Company of New York). ExxonMobil's primary brands are Exxon, Mobil, Esso, and ExxonMobil Chemical, which produces plastic, synthetic rubber, and other chemical products. ExxonMobil is incorporated in New Jersey.

Job ID: 138410581