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 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:
We are looking for a highly motivated individual, passionate about deep learning and AI to join the BHGE Digital analytics team. As the Staff Data Scientist, BHGE Digital, you will focus on developing impactful and innovative analytics products for the O&G industry. You will be responsible for designing deep learning solutions for products, leverage strong machine learning expertise to develop new analytics for driving growth in asset, application & industry coverage and lead engagements with external/internal customers. The candidate is also expected to mentor other engineers in analytics methods.
As a Staff Data Scientist, you will be part of the 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. You will be expected to drive the adoption of deep learning technologies for Oil & Gas applications such as anomaly detection, image processing, natural language understanding, time series analysis, etc. Qualifications/Requirements:
Basic Qualifications:Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 5 years analytics development for industrial applications in a commercial/industrial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 1 year analytics development for industrial applications in a commercial/industrial setting
Eligibility Requirements: Legal authorization to work in the U.S. 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.
Must be willing to travel 5%
Must be willing to work out of an office located in San Ramon, CA
In this role you will:Work in cross-functional teams to translate deep learning 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.
Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate
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.
Research and evaluate emerging technology, industry and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.
Technical Expertise: Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python, Tensorflow, Caffe, Theano, CNTK, etc.)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets
Domain Knowledge:Strong implementation experience with a variety of high-level languages and frameworks such as Python, Tensorflow, Keras, Caffe, CNTK, C/C++ etc.
Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data including SQL and NoSQL databases
Leadership: Demonstrated skill at working in a team setting
Demonstrated skill in critical thinking and problem solving methods
Demonstrated skill in presentation and influencing skills
Personal Attributes: Demonstrated awareness of how to succeed in ambiguous circumstances
Demonstrates capability of 'rolling up sleeves and getting hands dirty'.
Works well in fast paced growing environment.
Challenges conventional thinking and traditional ways of operating and invites stakeholders to identify issues and opportunities.
Locations: United States; California; San Ramon