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.
At GE Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it’s about the future of industry—energy, healthcare, transportation, manufacturing. It’s about making the world work better. GE is transforming itself to become the world's premier digital industrial company, executing critical outcomes for our customers. Explore how you can drive greater asset reliability, lower operating costs, reduce risk and accelerate operational performance with our Predix platform and software solutions. 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 Principal Data Scientist will guide, lead, and work in 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.
As a Principal Data Scientist, you will guide, lead, or otherwise contribute to 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.
Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
Guide junior Data Scientists to develop, verify, and validate analytics to address customer needs and opportunities.
Provide technical project and program oversight to ensure appropriate technical rigor is applied to Data Science engagements
Guide cross-functional teams to translate algorithms into commercially viable products and services.
Guide and otherwise contribute to technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Partner with data engineers on data quality assessment, data cleansing and data analytics efforts
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Communicate methods, findings, and hypotheses with stakeholders.
Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 10 years of analytics development for industrial applications in a commercial/industrial setting.
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.
Demonstrated expertise in translating customer need into data and analytics requirements
Demonstrated expertise in the design, development, verification, and validation of descriptive, applied, predictive, and prescriptive analytics for industrial applications
Demonstrated expertise in one or more development tools and languages (e.g., R, Python)
Demonstrated expertise in one or more industry sectors where GE operates (i.e., Aviation, Oil & Gas, Power & Water, Transportation, Mining, Healthcare)
Demonstrated skill in data management methods and analytic scaling
Demonstrated skill in solutions integration
Demonstrated expertise in delivering professional services
Demonstrated and externally recognized expertise in data science technology and industry trends
Demonstrated expertise in technical and/or business consulting
Demonstrated expertise in critical thinking and problem solving methods
Demonstrated expertise in influencing, presentation and communications skills
Demonstrated expertise in delivering business value in ambiguous environments
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