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Data Scientist

  • GE Oil & Gas
  • Experienced
  • Posted 5/8/2017 3:10:08 PM
  • 2847277
  • Job Function: Digital Technology
  • Business Segment: Oil & Gas Headquarters
Location(s): India; Bangalore


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.

com/about/oil_and_gas.jsp target=“_blank”>GE Oil & Gas fuels the future. We push
the boundaries of technology to bring energy to the world. We are inventing the next industrial era
in the oil and gas sector. In our labs and factories, and in the field, we constantly push the
boundaries of technology to solve today’s toughest operational & commercial challenges. We have
the skills, knowledge and technical expertise to bring together the physical and digital worlds to
fuel the future. GE Oil & Gas is a “fullstream” company, working from exploration and production to
downstream. A $19 billion leader designed for a world of complex resources. The deeper, the
hotter, the more remote, the more logistically difficult or environmentally sensitive the challenge –
the more GE Oil & Gas can help.

Through project management expertise and technology innovation, we work to help lower
costs, make things faster, simpler and more productive for our customers.

In today’s era of complex resources, the deeper, the hotter, the more remote, the more
logistically difficult or environmentally sensitive the challenge – the more we can help. The GE
scale helps us bring new solutions to market quicker to help our customers adapt to the industry’s
changing environment.

We go where you go and operate side-by-side in 120 countries. The closer we are to our
customers, the quicker we can anticipate and solve their challenges.

We’re at work today, to ensure the next generation is equipped and empowered to go further
and deeper, helping to
fuel the future.

Follow GE Oil & Gas on Twitter target=”_blank”>@GE_OilandGas.

Role Summary:
The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, they will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Essential Responsibilities:
As a Data Scientist, you will be part of a cross-disciplinary modeling & data science team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include domain experts, statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE Oil & Gas business units. Potential application areas include remote monitoring and diagnostics across Oil & Gas infrastructure and industrial sectors, and operations optimization.

In the role of Data Scientist you will:

  • Data exploration and model building targeting given CTQs (field issue investigations, developing tracking filters, inspections, root cause analysis, etc.)
  • Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
  • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods
  • Work on data quality assessment and data cleansing
  • Execute design, analysis and development of assigned projects adhering to business standards, practices, procedures and product / program requirements
  • Communicate results, findings and observations in clear and concise documents (presentations, reports, technical articles) to peers and program leader in formal / informal reviews
  • Document technical data generated by the assigned project consistent with engineering policies and procedures

    Qualifications/Requirements:
  • Master's Degree in Statistics, Computer Science, Mechanical or Chemical or Electrical Engineering from an accredited college or university
  • Minimum 3 years of experience in analytics development for industrial applications in a commercial / industrial setting

    Desired Characteristics:
  • Ph.D. in a STEM’ field (Science, Technology, Engineering, Math) from an accredited college or university with a minimum 1 year of experience in analytics development for industrial applications in a commercial / industrial setting
  • Experience with projects involving Exploratory Data analysis, Pattern Recognition, machine learning
  • Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
  • Oil & Gas domain knowledge and experience in either upstream, midstream or downstream segments
  • Experience with end-to-end modeling projects, from research to solutions to analytic products
  • Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
  • Strong oral and written communication skills
  • Strong interpersonal and leadership skills and ability to influence others and lead small teams
  • #DTR

    GE looks for innovation everywhere. For 130 years, GE has been at the forefront of
    innovation, but finding solutions to the world's biggest problems has never been more important
    than right now. Join us today and become an essential part of the solution! Not just imagining.
    Doing. GE works.
    Start your career on the right path. href=http://www.youtube.com/watch?v=4EHRyInf3_4>Join our results-oriented team at GE Oil &
    Gas today!


    Locations: India; Bangalore

  • Apply Now    

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