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Data Scientist

Location:  Bangalore, KA, IN
Company:  ExxonMobil

Job Role Summary

 

We are looking for data scientists to work on challenging 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)

 

  • 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
  • Support the application of data science to projects and enhance existing models
  • Contribute to various stages of data analytics or decision model development and deployment
  • 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 in to 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 in support of decision-making
  • Analyze simulation results and develop technical reports and presentations

Job Role Responsibilities

 

 

Requirements

 

 

  • Bachelor’s degree or Master’s degree (preferred) from a recognized university in one of the following disciplines: Engineering, Statistics, Computer Science, or other Science disciplines with significant experience in data analysis; minimum GPA 7.0 and above
  • Professional work experience in data analytics:  Minimum one year applied computational work experience for candidates with Master’s degrees; and minimum two years’ of such experience for candidates with Bachelor’s degrees
  • Candidates with a degree in Chemical/Mechanical/Civil/Petroleum or related engineering field will be preferred.
  • Experience in Python, MATLAB, or R is required
  • Required technical skills include hypothesis testing, regression, Monte Carlo simulation, clustering, and classification
  • 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

 

 

 


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