Computational & Data Scientist

Key Skills

Agile methodologies, C Programming, C++, Data science techniques, Effective communication skills, Gas Plant, Machine learning techniques, MATLAB Programming, Mechanical, Optimization, Python Programming

Job Description

What role you will play in our team

We are looking to hire candidates to work on challenging engineering, geological and commercial problems that focus on exploration, development, production, marketing and transportation of hydrocarbons. A successful candidate would understand a problem in oil and gas space (both commercially/economically and technically), be able to formulate the problem in a solvable way, using application of engineering, numerical, data science and programming skills to tackle a range of problems in the oil and gas industry

What you will do

• Work with computational scientists, data scientists, engineers, software developers, and geoscientists across the globe to develop, deliver and apply computational tools, models, or software to support our business
• Enhance proprietary computational models and tools to address evolving business needs
• Use machine learning, pattern recognition, deep learning, statistical analysis and data visualizations – along with domain knowledge and subject-specific models (Eg. physics-based) – to solve science, engineering, commercial problems and provide business insights
• Design, build, and execute studies using proprietary or commercial tools to provide insights including calibrating models to field data and providing field optimization recommendations

About You

Skills and Qualifications

• Master's degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines with minimum GPA 7.0 (out of 10.0) and above
• Professional work experience in developing, applying, and analyzing physics-based models and/or data driven computational models and simulations.
• Minimum 3 years of applied computational work experience for candidates with a Master's degree.
• Ability to understand, enhance and apply computational models
• Familiarity with general numerical analysis and methods for solving differential equations
• Experience with developing, applying and validating physics-based or data-driven tools to model complex systems
• Familiarity with Statistical analysis, regression, classification
• Strong engineering fundamentals
• Ability to formulate complex problems in a solvable way
• Software Skills
• Competent to expert level programming experience
• Background in C/C++/Python or Matlab as well as Object oriented programming

Preferred Qualifications / Experience

• Prior knowledge of commercial software development and/or experience in commercial software teams
• Software testing and development practices (Agile)
• Experience with application of optimization tools in Matlab/Python for engineering problems
• Strong communication and interpersonal skills
• Familiarity with Oil and Gas Industry

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.

Stay connected with us

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