Data Scientist

4 weeks ago

Bengaluru, Karnataka, India ExxonMobil Full time
About ExxonMobil

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.

Key Responsibilities
  • Collaborate with data scientists, computational scientists, engineers, software developers and geoscientists to develop, deliver and apply computational tools, models or software to support our business.
  • Apply machine learning, pattern recognition, deep learning, statistical analysis and data visualization to solve science, engineering and 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 a minimum GPA of 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, 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, PINN's, causality analysis.
  • Experience in Python and R and related packages, such as numpy, pandas, sklearn, Keras, Tensorflow, PyTorch.
  • Experience with software engineering practices, agile methodologies, DevOps, and version control.
  • Experience working in Azure Databricks or any other data science frameworks.
  • Software testing and development practices (Agile).
Your Benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep, with benefits built on our core categories of health, security, finance and life. We offer:

  • Competitive compensation.
  • Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits.
  • Retirement benefits.
  • Global networking and cross-functional opportunities.
  • Annual vacations and holidays.
  • Day care assistance program.
  • Training and development program.
  • Tuition assistance program.
  • Workplace flexibility policy.
  • Relocation program.
  • Transportation facility.
Stay Connected
  • Learn more about ExxonMobil in India at ExxonMobil India and Energy Factor India.
  • Follow us on LinkedIn and ExxonMobil (@exxonmobil).
  • Like us on Facebook.
  • Subscribe to our channel at YouTube.

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