General Electric Staff Data Scientist in St. Paul, Minnesota
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 useful insights and recommendations for bio-process, bio-pharmaceutical, clinical and bio-medical industry.
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. Qualifications/Requirements: Basic Qualifications:
Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 7 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 settingEligibility 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 work out of an office located in Seattle, WA or San Ramon, CA Desired Characteristics: Technical Expertise:
Solid knowledge in statistics and mathematics, good understanding of machine learning and data mining algorithms
Demonstrated skill at data preprocessing, data modeling, data quality assessment
Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated skill in analyzing the challenges and setting up the problem-solving direction
Demonstrated skill in using the right algorithms to analyze the data and provide meaningful insights
Demonstrated skill in research ability for the new algorithm deployment and development
Demonstrated skill in feature extraction and real-time analytics development and deploymentDomain Knowledge:
Demonstrated skill in understanding one or more field of bio-process, bio-pharmaceutical, clinical and bio-medical industry
Demonstrated skill in defining and delivering customer valueLeadership:
Demonstrated skill in summarizing the project achievements to communicate with customer and internal team
Demonstrated skill in good and efficient communication with customer and internal team
Demonstrated skill at working in a team setting and leading the team with good teamworkPersonal Attributes:
Clear logic and mind in problem analyzing and team communication
Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial challenges
Proven ability in successful leading and managing data analysis projects end to end independently
Demonstrated awareness of how to succeed in ambiguous circumstances#DTR 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 at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . 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. Locations: United States; California, Washington; San Ramon, SeattleGE will only employ those who are legally authorized to work in the United States for this opening.