Data Scientist

Job description

2932458
City

Lisle, Chicago
Career Level

Experienced
Relocation Assistance

Yes
Business

GE Digital
Business Segment

Digital Applications
Function

Digital Technology
Country

United States
U.S. State, China or Canada Provinces

Illinois
Postal Code

60532-4305
Role Summary/Purpose

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

• 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

Basic Qualifications:
• Bachelor’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)
• Minimum 1 year analytics development in a commercial setting

Eligibility Requirements
• Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
• Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
• Must be willing to travel up to 10%
• Must be willing to work out of an office located in Chicago, IL or Lisle, IL
Desired Characteristics

• Demonstrated skill in applying data science/machine learning algorithms like Pattern Recognition, Neural Networks, Regression, Classification, Resampling, Support Vector Machines, etc
• Demonstrated organizational and project management skills
• Demonstrated analytical and problem resolution skills
• Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources
• Demonstrated ability on machine and process problem analysis and troubleshooting
• Demonstrated ability to synthesize broad-based user requirements into a plan to meet key business objectives
• Experience designing, deploying or operating applications / infrastructure in a public or private cloud environment
• 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
•

Technical Expertise:
• Demonstrated awareness of feature extraction and real-time analytics methods
• Demonstrated awareness of analytic prototyping, analytic scale up, 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
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 anEqual 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.
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.