The Staff Data Scientist 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 the role of Staff Data Scientist, you will:
Work with customers to capture data and analytics requirements
Develop, verify, and validate analytics to address customer needs and opportunities
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 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 the work and outcomes
Communicate methods, findings, and hypotheses with stakeholders
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.
Bachelor s Degree in a STEM field (Science, Technology, Engineering, Math) from an accredited college or university
Minimum 3 years of experience in analytics development for industrial applications in a commercial and/or industrial setting)
Master s Degree in a STEM field (Science, Technology, Engineering, Math) from an accredited college or university
Ph.D. in a STEM field (Science, Technology, Engineering, Math) from an accredited college or university
Demonstrated skill in data management methods
Demonstrated skill in feature extraction and realtime analytics development and deployment
Demonstrated skill in prescriptive analytics and analytic prototyping
Locations: United States; Texas; HOUSTON
GE will only employ those who are legally authorized to work in the United States for this opening.