Staff Data Scientist

Job description

Job Number

2762267

Business

GE Corporate

Business Segment

Corporate Business Innovations

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.

Business Overview
Our team is creating the next generation of Data analytics platform that will utilize sensors and Big Data to deliver insights in IIOT. The innovative and proprietary platform is rapidly evolving, and we are looking to identify an individual to lead our marketing efforts.

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.

Posted Position Title

Staff Data Scientist

Career Level

Experienced

Function

Marketing

Function Segment

Market Intelligence

Location(s) Where Opening Is Available

United States

U.S. State, China or Canada Provinces

Massachusetts

City

Boston

Postal Code

02111-2621

Relocation Assistance

No

Role Summary/Purpose

The Staff Data Scientist will work in and lead teams as technical domain expert 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 Staff 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.
In this role, you will:
• Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
• Develop, verify, and validate analytics to address customer needs and opportunities.
• Work as part of a cross-functional team 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.
• Communicate methods, findings, and hypotheses with stakeholders.

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 expertise in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
• Demonstrated expertise in data visualization and storytelling to translate complex data into customer insight
• Demonstrated expertise in modeling, feature extraction, and the development and application of descriptive, applied, and predictive analytics on industrial datasets
• Demonstrated expertise in data science technology and industry trends
• Demonstrated skill in data management methods and analytic scaling
• Demonstrated skill in prescriptive analytics and analytic prototyping
• Demonstrated skill in solutions integration
• Demonstrated skill in one or more industry sectors where GE operates
• Demonstrated skill in defining and delivering customer value
• Demonstrated expertise working in team settings in various roles
• Demonstrated expertise in critical thinking and problem solving methods
• Demonstrated expertise in presentation and communications skills
• Demonstrated skill in serving as a change agent
• Demonstrated skill in working in ambiguous environments

#DTR

Desired profile

Qualifications/Requirements

Basic Qualifications:

• Master's Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 5 years analytics development for industrial applications in a commercial/industrial setting
OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 3 year analytics development for industrial applications in a commercial/industrial setting
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.
• Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
• Must be willing to travel at least 10%