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Sr. Data Scientist - GE Transportation

GE Transportation

Chicago, Illinois
  • Data Engineer
  • Data Scientist
  • Data Analytics
GE Transportation
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Job Details

Role Summary/Purpose

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.

Essential Responsibilities

As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on services operations 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 services. Potential application areas include remote monitoring and diagnostics, asset operations, component performance, and services and supply chain operations optimization.


In this role you will:

• Develop analytics to address customer needs and opportunities
• Work alongside software developers, software engineers and data engineers to translate algorithms into viable solutions
• 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, visualization and data querying software tools or languages (e.g., R, Python, Java, Sisense, Tableau, D3, SQL, postgres)
• 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
• 3+ years of hands-on experience in data analyticsEligibility Requirements
• Any offer of employment is conditioned upon the successful completion of a background investigation

Additional Eligibility Qualifications

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 background investigation and drug screen.


Desired Characteristics

• Demonstrated awareness of data management methods
• Demonstrated awareness of realtime analytics development and deployment
• Ability to formulate problem statements and develop a plan for tackling the problem
• Advanced knowledge in machine learning algorithms
• Demonstrated competence in statistics and probability
• Software development & engineering skills would be an asset Domain Knowledge
• Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
• Demonstrated awareness of customer and stakeholder management and business metricsLeadership
• Demonstrated skill at function in a team setting
• Demonstrated awareness of critical thinking and problem solving methods
• Demonstrated awareness of presentation and influencing skillsPersonal Attributes

• Demonstrated awareness of how to succeed in ambiguous circumstances