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 Sr Staff Data Scientist will work in and lead teams as technical domain expert addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you 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 Sr Staff Data Scientist, you will be part of a data science or cross-disciplinary 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 with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
In this role you will:
Partner with GE Digital Engagement Managers to shape Statements of Work for Data Science opportunities and GE Digital Solutions
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
Develop, verify, and validate analytics to address customer needs and opportunities.
Work as part of a cross-functional team 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 with data engineers on data quality assessment, data cleansing and data analytics
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Communicate methods, findings, and hypotheses with stakeholders.
Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 7 years analytics development for industrial applications in a commercial/industrial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 3 year analytics development for industrial applications in a commercial/industrial setting
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.
Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
Must be willing to travel at least 10%
Must be willing to work out of an office located in San Ramon, CA
Demonstrated expertise in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated expertise in data visualization and storytelling to translate complex data into customer insight
Demonstrated expertise in modeling, feature extraction, and the development and application of descriptive, applied, and predictive analytics on industrial datasets
Demonstrated expertise in data science technology and industry trends
Demonstrated skill in data management methods and analytic scaling
Demonstrated skill in prescriptive analytics and analytic prototyping
Demonstrated skill in solutions integration
Demonstrated skill in one or more industry sectors where GE operates
Demonstrated skill in defining and delivering customer value
Demonstrated expertise working in team settings in various roles
Demonstrated expertise in critical thinking and problem solving methods
Demonstrated expertise in presentation and communications skills
Demonstrated skill in serving as a change agent
Demonstrated skill in working in ambiguous environments
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