General Electric Sr 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 Sr 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 Sr 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 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:

  • Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 1 year analytics development for industrial applications in a commercial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) OR at least 2 years of experience in an accelerated program in a technical fieldEligibility Requirements:

  • U.S. citizenship is required, due to government contract. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

  • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.

  • 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 Data Science tools or languages (e.g., Python, R, MATLAB) to solve real-life problems

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

  • Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets

  • Demonstrated skill at data visualization and storytelling for an audience of stakeholdersTechnical Expertise:

  • Familiarity with machine learning, time series analysis or digital signal processing

  • Familiarity with cloud computing, distributed computing and storage, real-time analyticsDomain Knowledge:

  • Familiarity with defense, aviation or Energy sectors

  • Demonstrated awareness of industry and technology trends in one or more sectors where GE operates

  • Demonstrated awareness of customer and stakeholder management and business metricsLeadership:

  • Demonstrated skill working in teams and project setting

  • Demonstrated awareness of critical thinking and problem solving methods

  • Demonstrated awareness of presentation and influencing skillsPersonal Attributes:

  • Demonstrated awareness of how to succeed in ambiguous circumstances 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.