Advanced Data Scientist

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.

What role you will play in our team

• We are seeking an advanced data scientist at the Bangalore Technology Center (BTC) who can provide technical expertise, strategic and cross-functional leadership to generate maximum business value from data science by working with computational and data scientists as well as business domain experts across engineering, geoscience, and commercial domains. 
• You will be able to scope new opportunities, develop, and deploy data-driven models, automate workflows, and generate insights that lead to significant business value for ExxonMobil's multiple value chains. 
• Opportunity scope ranges from accurately predicting subsurface properties using machine learning; predicting failure of machinery using historical data, and using advanced analytics to increase revenue from commercial sale of fuels and lubricants. 
• You will have access to massive data sets, immense compute power and challenging, previously unsolved problems in the oil and gas domain

What you will do

• Be a part of a growing organization comprising computational, data scientists and optimization experts working to solve challenging business problems by developing and applying state-of-the-art machine learning techniques.
• Partner with domain experts across the corporation to identify, scope, and develop machine learning solutions and provide insights to our business partners to reduce costs and/or increase revenue. Primary scope of application will be in the engineering domain, which will require you understand the underlying physical processes that generate the data, for example solid or fluid mechanics.
• Communicate recommendations and solutions from data science applications to business partners and influence and drive business uptake of the proposed solutions
• Help screen and prioritize ideas based on technical feasibility and value maximization
• Advise senior business line management on challenges and opportunities in the data science space in the various domains; identify and champion new opportunities
• Provide technical leadership, consulting, and mentorship to early-career engineers, computational and data scientists
• Work with software and data architecture experts to understand and influence architectural decisions to drive effective development of data-driven solutions for the business

About You

Skills and Qualifications

• Master's or PhD from a recognized university in engineering, mathematical sciences, physics or related quantitative discipline with GPA 7.0 (out of 10.0) and above
• 10+ years of experience in developing and building data science solutions to solve business problems in an engineering or related field
• In-depth knowledge and practical experience in applying statistical analysis techniques, such as classification, regression, time-series, Bayesian techniques, etc. and machine learning techniques, such as decision-trees, ensemble methods, neural networks, validation methods etc.
• Experience in developing, applying, and analyzing physics-based and/or data driven computational models and simulations is an advantage
• Practical experience in the full machine learning life cycle from problem formulation, data acquisition, modeling building, and deployment at enterprise scale.
• Experience in Python & R and related packages such as numpy, pandas, sklearn, Keras, Tensorflow, PyTorch
• Experience with software engineering practices, agile methodologies, DevOps, version control 
• Demonstrated experience of identifying and scoping data science opportunities based on business needs
• Demonstrated leadership experience in influencing business partners on uptake of data science solutions and facilitating change management
• Strong communication and interpersonal skills
• Ability to deal with business and technical uncertainty
• Demonstrated experience mentoring early career data scientists 

Preferred Qualifications / Experience

• Prior experience leading data science teams is an advantage
• Experience with optimization techniques, such as linear and nonlinear programming or experience with commercial solvers such as CPLEX is an advantage

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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• 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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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. 

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