Location(s): United States ; California; San Ramon
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. 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.
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, 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 Sr 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.
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 your work and outcomes.
Share and discuss findings with team members.
Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 1 year analytics development for industrial applications in a commercial setting
OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics)
Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.
Experience with statistical learning techniques, including: Support Vector Machines; Regularization Techniques; Boosting, Random Forests, and other
Ensemble Methods Strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages
Familiarity with Linux/Unix/Shell environments
Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
Experience with end-to-end modeling projects, from research to solutions to analytic products
Excellent industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications
Strong communication skills both written and oral Knowledge of Hadoop programming environments (e.g. Pig, Hive)
Demonstrated awareness of data management methods
Demonstrated awareness of realtime analytics development and deployment
Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
Demonstrated awareness of customer and stakeholder management and business metrics
Demonstrated skill at function in a team setting
Demonstrated awareness of critical thinking and problem solving methods
Demonstrated awareness of presentation and influencing skills
Demonstrated awareness of how to succeed in ambiguous circumstances
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