Data Scientist

Description

Data Scientist
Location: Bengaluru, KA, IN
Company: ExxonMobil
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 worlds 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 societys 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 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 Data Scientists, computational scientists, engineers, software developers, and geoscientists across the globe to develop, deliver and apply computational tools, models, or software to support our business.
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
Bachelor'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
Minimum 3 years of work experience in developing, applying, and validating data-driven tools to model complex systems.
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, deep learning, neural networks, validation methods etc.
Practical experience in the full machine learning life cycle from problem formulation, data acquisition, modeling building, and deployment at enterprise scale.
Specialization in at least one of the sub-domains e.g. Natural Language Processing (NLP), Computer Vision, Time series forecasting, PINNs, causality analysis.
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
Experience working in Azure Databricks or any other data science frameworks
Software testing and development practices (Agile)
Preferred Qualifications / Experience
Experience in developing, applying, and analyzing physics-based or data driven computational models and simulations is an advantage
Prior knowledge of commercial software development and/or experience in commercial software teams
Experience of identifying and scoping data science opportunities based on business needs is an advantage
Strong communication and interpersonal skills
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 Companys eligibility guidelines.
Stay connected with us
Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.
Follow us on LinkedIn and ExxonMobil (@exxonmobil) Instagram photos and videos
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Subscribe our channel at YouTube
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.
Business solicitation and recruiting scams
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 the LINK to 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.
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