chain close dial download Artboard 1 facebook gear Artboard 1 tool twitter
  • Home  ›  
  • Careers 
  • Home
  •     ›  Data Scientist - Deep Learning - San Ramon, CA
Apply Now    

Data Scientist - Deep Learning

  • Job Function: Digital Technology
  • Experience Level: Entry-Level
  • Posted Date: 2/28/2018 5:52:03 PM
  • Job #: 3072760
  • Location(s): United States; California; San Ramon

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 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:
The Data Scientist will work in teams developing deep learning based solutions for the Oil & Gas industry. In this role, you will contribute to the development and deployment of modern deep learning, operational research, semantic analysis, and topological data analysis methods for finding structure in large data sets.

As a Data Scientist, you will be part of a dynamic data science team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert. Potential application areas include remote monitoring and diagnostics, optimization and prognostics across the Oil & Gas industry.

  • Work in cross-functional teams to translate algorithms into commercially viable products and services.
  • Contribute to technical teams in development, deployment and application of deep learning capabilities.
  • Develop self-learning systems that can predict failures and autocorrect based on multiple data sources
  • Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories. Partner with data engineers on data quality assessment, data cleansing and data analytics efforts
  • Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code.
  • Stay current on published state-of-the-art algorithms and competing technologies.
  • Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses.


    Basic Qualifications:

  • Bachelor’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)
  • Minimum 2 year analytics development in a commercial setting

    Eligibility Requirements:

  • Legal authorization to work in the US is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.

    Desired Characteristics:
  • Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python, R, C, C++)
  • Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
  • Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets

    Technical Expertise:

  • Demonstrated awareness of deep learning techniques such as CNN, RNN, LSTM, GANs, etc.
  • Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration


    Domain Knowledge:
    • Demonstrated awareness of one or more analytic software tools or languages (e.g., Python, Tensorflow, Caffe, Theano, CNTK, etc.)
    • Demonstrated awareness to containerized solutions (Docker)

    • Demonstrated awareness of how to function in a team setting
    • Demonstrated awareness of critical thinking and problem solving methods
    • Demonstrated awareness of presentation skills

    Personal Attributes:
    • Demonstrated awareness of how to leverage curiosity and creativity to drive business impact
    • Works well in fast paced growing environment

    Locations: United States; California; San Ramon

  • Connect With Us

    Stay up to date on BHGE and possible opportunities that open in areas that interest you.

    Join Our Talent Network
    Apply Now    
    Link for schema

    Share with Friends & Colleagues