Data Scientist

Job description

Job Number

2543872

Business

GE Digital

Business Segment

Digital Predix Products & Technology

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

Information Technology

Function Segment

Data & 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

Essential Responsibilities

At GE Software, 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. Stay connected with us. Join our Talent Community!

Job Overview:

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.

As a Data Scientist, you will be part of a data science or cross-disciplinary team on solution and product development projects, typically involving large,
complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users.
Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment,
and operations optimization.

Essential Responsibilities:

In this role, you will:

·  Develop analytics to address data science 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

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

·  Must be willing to travel 10%

Must be willing to work out of an office located in San Ramon, CA

Technical Expertise:

·  Demonstrated awareness of feature extraction and current analytics methods

·  Demonstrated awareness of analytic prototyping, analytic scale up, analytic scaling, and solutions integration

Domain Knowledge:

·  Demonstrated awareness of industry and technology trends in data science

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

Desired profile

Qualifications/Requirements

·  Master's Degree in Mathematics, Statistics, Machine Learning or a related field

·  Minimum 1 year analytics development experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages

·  Familiarity with Linux/Unix/Shell environments

·  Minimum 1 year hands-on experience in sourcing, cleaning, manipulating and analyzing large volumes of data

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