GE Sr Data Scientist in San Ramon, California

Job Number

2790144

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 anEqual 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

Sr Data Scientist

Career Level

Experienced

Function

Digital Technology

Function Segment

Data and Analytics

Location(s) Where Opening Is Available United States

U.S. State, China or Canada Provinces

California

City

San Ramon

Postal Code

94583-9130

Relocation Assistance

Yes

Role Summary/Purpose

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)

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

  • Demonstrated skill at data visualization and storytelling for an audience of stakeholders

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.

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

  • Experience with statistical learning techniques, including: Support Vector Machines; Regularization Techniques; Boosting, Random Forests, and other

  • Ensemble Methods Strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages

  • Familiarity with Linux/Unix/Shell environments

  • Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data

  • Experience with end-to-end modeling projects, from research to solutions to analytic products

  • Excellent industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications

  • Strong communication skills both written and oral Knowledge of Hadoop programming environments (e.g. Pig, Hive)

  • Demonstrated awareness of data management methods

  • Demonstrated awareness of realtime analytics development and deployment

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

  • Demonstrated awareness of customer and stakeholder management and business metrics

  • Demonstrated skill at function in a team setting

  • Demonstrated awareness of critical thinking and problem solving methods

  • Demonstrated awareness of presentation and influencing skills

  • Demonstrated awareness of how to succeed in ambiguous circumstances

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