Staff Data Scientist
Desired Characteristics
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, visualization and using analytics for big data assessment
Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets
Technical Expertise:
Demonstrated skill in data management methods
Demonstrated skill in feature extraction and real-time analytics development and deployment
Demonstrated skill in prescriptive analytics and analytic prototyping
Domain Knowledge:
Demonstrated skill in one or more industry sectors where GE operates
Demonstrated skill in defining and delivering customer value
Leadership:
Demonstrated skill at working in a team setting
Demonstrated skill in critical thinking and problem solving methods
Demonstrated skill in presentation and influencing skills
Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances
#DTR
Postal Code
94583-9130
Role Summary/Purpose
The Staff 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 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:
Work with customers to capture data and analytics requirements
Develop, verify, and validate 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.
Communicate methods, findings, and hypotheses with stakeholders.
Work with product managers on identifying and building advanced analytic capabilities in GE's IOT platform.
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 2 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.
Must be willing to travel (10%)
Must be willing to work out of an office located in San Ramon, CA
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.
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
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, visualization and using analytics for big data assessment
Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets
Technical Expertise:
Demonstrated skill in data management methods
Demonstrated skill in feature extraction and real-time analytics development and deployment
Demonstrated skill in prescriptive analytics and analytic prototyping
Domain Knowledge:
Demonstrated skill in one or more industry sectors where GE operates
Demonstrated skill in defining and delivering customer value
Leadership:
Demonstrated skill at working in a team setting
Demonstrated skill in critical thinking and problem solving methods
Demonstrated skill in presentation and influencing skills
Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances
#DTR
Postal Code
94583-9130
Role Summary/Purpose
The Staff 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 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:
Work with customers to capture data and analytics requirements
Develop, verify, and validate 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.
Communicate methods, findings, and hypotheses with stakeholders.
Work with product managers on identifying and building advanced analytic capabilities in GE's IOT platform.
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 2 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.
Must be willing to travel (10%)
Must be willing to work out of an office located in San Ramon, CA
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.
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
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