Lead Data Solutions Scientist

Job description

Job Number

2611337

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

Lead Data Solutions Scientist

Career Level

Experienced

Function

Information Technology

Function Segment

Core Technology

Location(s) Where Opening Is Available

United States

U.S. State, China or Canada Provinces

Ohio
Georgia

City

Cincinnati, Atlanta, Alpharetta

Postal Code

45249-1363

Relocation Assistance

No

Role Summary/Purpose

As a data solutions scientist, you will be part of a cross-disciplinary team that designs and implements the tools to enable data based, predictive IT data center operation. In this role, you will lead customer requirement gathering, design, and application development activities, leveraging GE's Predix platform.

Essential Responsibilities

·  Help define the next generation of data driven IT service for predictive datacenter operations.

·  Develop data analytic / data science solution to support predictive monitoring application.

·  Integrate machine learning and other next gen capability with the application.

·  Help envision GE datacenter analytics product roadmap.

·  Be involved with Hackathon and other crowd sourcing projects.

·  Lead engagement with the Predix team in GE Digital Headquarter.

·  Work with local universities to develop R&D partnership and talent pipeline

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

·  Solid knowledge of linear models, multivariate statistics

·  Hands-on experience with SQL Database such as Oracle MySQL, PostgreSQL

·  Experience with Big Data / Hadoop / Spark / Hive / NoSQL Database (i.e. Cassandra) / Data Warehousing is a big plus

·  Experience with time-series data analysis, machine learning and other modeling techniques

·  Proficient with modern data science algorithms

·  Knowledge of statistical programming language such as R or Python

·  Experience with backend development using languages such as Java and Python.

#DTR

Desired profile

Qualifications/Requirements

·  Bachelor's Degree in Statistics, Quantitative analysis, Computer Science, Information Management or other technical / IT field with minimum of two years of experience OR postdoctoral degree with minimum of two years of academic research experience