Offers “General Electric”

Expires soon General Electric

Data Scientist

  • New Orleans (Orleans Parish)
  • Studies / Statistics / Data

Job description

Job Number

2716450

Business

GE Digital

Business Segment

Digital Information Technology & Digital Thread

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 . 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

Data Scientist

Career Level

Experienced

Function

Engineering/Technology

Function Segment

Applications and Software

Location(s) Where Opening Is Available

United States

U.S. State, China or Canada Provinces

Louisiana

City

New Orleans

Postal Code

70170-1000

Relocation Assistance

No

Role Summary/Purpose

The 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

·  Develop analytics within well defined projects 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.

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 awareness of feature extraction and real-time analytics methods

·  Demonstrated awareness of analytic prototyping,analytic scaleup, analytic scaling, and solutions integration

Domain Knowledge

·  Demonstrated awareness of industry and technology trends in data science

·  Demonstrated awareness of customer and stakeholder management and business metrics

Leadership

·  Demonstrated awareness of how to function in a team setting

·  Demonstrated awareness of critical thinking and problem solving methods

·  Demonstrated awareness of presentation skills

Personal Attributes

·  Demonstrated awareness of how to leverage curiosity and creativity to drive business impact

#DTR

Desired profile

Qualifications/Requirements

Basic Qualifications

·  Bachelor's Degree in “STEM” Majors (Science, Technology, Engineering and Math) OR the completion of a code development pair-programming, bootcamp-style, or accelerated training curriculum focused on contemporary software development OR High School Diploma / GED with a 2 year minimum of analytic prototyping OR analytic scaleup OR analytic scaling OR solutions integration experience.

Eligibility 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

·  Must be willing to work out of an office located in New Orleans, LA

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