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 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. Develop analytics within well-defined projects 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. Share and discuss findings with team members.
Qualifications/Requirements: • Bachelor’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)

• Minimum 1 year analytics development in a commercial setting
• Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
• 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

Desired Characteristics: • Demonstrated awareness of feature extraction and real-time analytics methods

• Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration

About Us: GE (NYSE: GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. www.ge.com Additional Locations: China;BeiJing, ShangHai;Shanghai, Beijing;