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 Sr 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 Sr 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. Develop 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. Potential application areas include remote monitoring of aircraft engines, supply chain forecasting,increasing operations efficiency, development of data science solutions for airliners.
Qualifications/Requirements: • Master's or PhD degree in Statistics, Machine Learning, Computer Science or related field plus 2 years of analytics development experience • 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 solving business problems • Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets • Demonstrated skill at data visualization and storytelling for an audience of stakeholders • Strong communication and interpersonal skills #DTR
Desired Characteristics: • Demonstrated awareness of data management methods • Demonstrated awareness of deep learning techniques
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