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Data Scientist


Bangalore, KA, IN

Company:  ExxonMobil

Job Role Summary


Data analytics encompasses the computational and statistical skills required to use data in support of scientific enquiry and sound business decision-making.  We are looking to hire candidates to work on challenging data analytics problems for our upstream business, including exploration, development, and production.  Select areas of application for this work include real-time surveillance and optimization of production facilities (e.g. anomaly detection), logistics simulation and planning (e.g., bottleneck identification), and geospatial studies (e.g., spatial pattern extraction and analysis in 2D and 3D).


Job Responsibilities:

  • Use data visualization, statistical analysis, pattern recognition, and machine learning – along with domain knowledge and subject-specific models – to solve science, engineering, and commercial problems;
  • Assist the formulation of new projects or enhancements of existing models
  • Contribute to all stages of data analytics or decision modeling development, deployment, and support
  • Database/historian development, data extraction/transformation/loading, data filtering and quality control, exploratory data analysis and visualization, and programming with an emphasis on scripting languages
  • Process unstructured data into a form suitable for analysis
  • Create tutorials, documentation, training material, and case studies
  • Build simulation models using proprietary and vendor tools to model business problems.  Analyze simulation results and develop technical reports and presentations

Job Role Responsibilities

  • Master’s degree from a recognized university in one of the following disciplines: Statistics, Applied Mathematics,  Chemical Engineering, Mechanical Engineering,  Aerospace Engineering, Computer Science,  Geophysics, Physics or Science with significant experience in data analysis; minimum GPA 8.0 and above
  • Professional work experience in data analytics:  Minimum two years applied computational work experience
  • Experience in Python, MATLAB, or R is required
  • Excellent communication skills and experience working in a collaborative environment is required
  • Knowledge of numerical methods for linear algebra and optimization is an advantage
  • Experience in technical software development is an advantage
  • Experience working in Linux and in a High Performance Computing environment is an advantage
  • Previous work experience in the upstream oil and gas industry is an advantage

Job Segment: Database, Scientific, Engineer, GIS, Computer Science, Engineering, Technology

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