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Computational Scientist

ExxonMobil

Computational Scientist

ExxonMobil

·

On-site

·

Full-time

·

2w ago

Required Skills

Python

PyTorch

TensorFlow

Machine Learning

About us

At Exxon Mobil, 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 Exxon Mobil 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.

What role will you play in our team

Join Exxon Mobil'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., Tensor Flow, Py Torch, 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 Exxon Mobil 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.

Stay connected with us

  • Learn more about Exxon Mobil in India, visit Exxon Mobil India  and Energy Factor India.

  • Follow us on LinkedIn and Exxon Mobil (@exxonmobil) • Instagram photos and videos

  • Like us on Facebook

  • Subscribe our channel at YouTube

EEO Statement:

Exxon Mobil 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.

Business solicitation and recruiting scams

Exxon Mobil 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 the LINK to understand more about recruitment scams in the name of Exxon Mobil.

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 Exxon Mobil, 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, Exxon Mobil 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.

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About ExxonMobil

ExxonMobil

An international oil and gas company that provides energy that helps underpin growing economies and improve living standards around the world.

10,001+

Employees

Irving

Headquarters

$500B

Valuation

Reviews

3.5

4 reviews

Work Life Balance

2.5

Compensation

2.3

Culture

2.0

Career

3.2

Management

1.8

25%

Recommend to a Friend

Pros

Competitive total compensation

Stable employment at major oil company

Career advancement opportunities

Cons

Pay increases below inflation rate

Poor management communication

Insufficient salary for career goals

Salary Ranges

16 data points

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Data Scientist CL23

0 reports

$124,000

total / year

Base

-

Stock

-

Bonus

-

$105,400

$142,600

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

20%

Interview Process

1

Onsite Interview

2

Plant Tour

3

Trial Shift