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.
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, 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 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: • 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 your 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: Technical Expertise: • Demonstrated awareness of feature extraction and real-time analytics methods • Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration Domain Knowledge: • Demonstrated awareness of industry and technology trends in data science • Demonstrated awareness of customer and stakeholder management and business metrics Leadership: • Demonstrated awareness of how to function in a team setting • Demonstrated awareness of critical thinking and problem solving methods • Demonstrated awareness of presentation skills
Personal Attributes: • Demonstrated awareness of how to leverage curiosity and creativity to drive business impact
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