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General Electric Sr Data Scientist in Schenectady, New York

Job Description 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, you will contribute to the development and deployment of modern machine learning, optimization, 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, diagnostics, prognostics, and forecasting across infrastructure and industrial sectors, and operations optimization.

Job Description

Essential Responsibilities:

  • Work in technical teams to develop, deploy, and apply predictive and prescriptive analytics.

  • Develop analytics to address customer needs and opportunities.

  • Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.

  • 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.

  • Apply machine learning algorithms including classification, cluster analysis, time series analysis, forecasting, and multivariate regression.

  • Share and discuss findings with team members.

B asic Qualifications:

  • Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)

  • Minimum of 1 year analytics development for industrial applications in a commercial setting

  • OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics)

Eligibility Requirements:

  • 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.

Desired Characteristics:

  • Demonstrated skill in the use of one or more analytic software tools or languages (e.g., 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, feature extraction and predictive analytics on industrial datasets.

  • Demonstrated skill at data visualization and storytelling for an audience of stakeholders.

  • At least four years of demonstrated experience in the Renewable Energy industry applying forecasting, anomaly detection, ML (shallow and deep architectures), feedback control, and optimization.

  • 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.

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.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes