General Electric Staff Data Scientist in San Francisco, California

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.

At GE Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it’s about the future of industry—energy, healthcare, transportation, manufacturing. It’s about making the world work better. GE is transforming itself to become the world's premier digital industrial company, executing critical outcomes for our customers. Explore how you can drive greater asset reliability, lower operating costs, reduce risk and accelerate operational performance with our Predix platform and software solutions.

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.

Role Summary:

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.

  • 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 5 years of analytics development for industrial applications in a commercial/industrial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 1 year analytics development for industrial applications in a commercial/industrial settingEligibility 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

  • Must be willing to travel 10%

  • Must be willing to work out of an office located in San Ramon CA Desired Characteristics:

  • Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, MATLAB)

  • Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

  • Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasetsTechnical Expertise:

  • Demonstrated skill in machine learning, time series analysis or digital signal processing

  • Familiarity with cloud computing, distributed computing and storage, real-time analytics

  • Demonstrated skill in feature extraction and realtime analytics development and deployment

  • Demonstrated skill in prescriptive analytics and analytic prototypingDomain Knowledge:

  • Demonstrated skill in one or more industry sectors where GE operates

  • Demonstrated skill in defining and delivering customer valueLeadership:

  • Demonstrated skill at working in a team setting

  • Demonstrated skill in critical thinking and problem solving methods

  • Demonstrated skill in presentation and influencing skillsPersonal Attributes:

  • Demonstrated awareness of how to succeed in ambiguous circumstances#DTR Locations: United States; California; San RamonGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeocselfprint_poster.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.GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.