GE Staff Data Scientist in Boston, Massachusetts

Job Number

2782320

Business

GE Global Operations

Business Segment

Global Operations Enterprise Data Management

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

Staff 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

Massachusetts

City

Boston

Postal Code

02111-2621

Relocation Assistance

Yes

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, they 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

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

  • Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 5 years analytics development for industrial applications in a commercial/industrial settingORPh.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 1 year analytics development for industrial applications in a commercial/industrial setting

  • 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, and using analytics for data assessment

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

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

Technical Expertise:

  • Demonstrated skill in data management methods

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

  • Demonstrated skill in prescriptive analytics and analytic prototyping

  • Experience with any of the following: Python, SAS, R, SPSS, SVM, Bayesian, Predictive Modeling, Machine Learning, Prediction, Regression, Forecasting, Optimization, Econometrics, Classification, Neural Networks

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

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