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Sr Staff Analytics Engineer

  • GE Oil & Gas
  • Experienced
  • Posted 5/8/2017 3:30:41 PM
  • 2860770
  • Job Function: Digital Technology
  • Business Segment: Oil & Gas Headquarters
Location(s): United States; Texas; Houston


About Us:
GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:
The Lead Analytics Engineer will work with teams addressing statistical, machine learning and data mining problems in the Oil & Gas industry. You will support the deployment of domain knowledge & data sciences for finding structure in data to identify customer insights & software solutions application opportunities. You will help illuminate and close gaps in data from sensors, data inferred from process models, and data from unstructured sources like process logs and inspection reports

Essential Responsibilities:

You will contribute to cross-disciplinary teams, where only part of the team may have industry knowledge. These teams will involve process and facility engineers from customer groups, computer scientists, and statisticians, and must work together to define solutions. Application includes overall economic optimization of process equipment owned and operated by our customers through such areas as remote monitoring and diagnostics, operations optimization, production cost reduction, and maintenance savings.

  • Define and develop plant & fleet intelligence through monitored assets and software solutions data that provides customer value and sales/discovery support through power generation domain expertise coupled with data sciences & analytics
  • Work across cross-functional technical teams to develop insights and operational recommendations for condition-based maintenance on process equipment
  • Assist in determining technical approaches to be used on monitoring, classification and operations optimization of complex oil & gas facilities
  • Ensure proper definition of data needs, evaluation of data quality, and critique appropriate statistical analyses; for critical projects, perform needed analysis
  • Effectively communicate technical analysis and results to business management
  • Partner across Oil & Gas Engineering teams that are currently performing related activities to leverage current data, tools & methods, and to ensure common practices and interpretation of data

    Qualifications/Requirements:

    Basic Qualifications

  • Bachelor’s Degree in “STEM” Majors (Science, Technology, Engineering and Math) from an accredited university or college
  • Must be willing to travel up to 15%

    Eligibility Requirements

  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.

    Desired Characteristics:
  • Previous experience with data sciences in application and development of analytics
  • Analytics development & programming with Python & R languages, AI and Neural networks methods
  • Knowledge of data-driven optimization algorithms
  • Familiarity with process modeling software such as Modelica, Hysys, GTP, OLGA, etc.
  • Excellent written and oral communication skills to convey technical concepts to business and technical personnel

    #DTR

    Locations: United States; Texas; Houston

    GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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