Business Segment: Digital Information Technology & Digital Thread
Location(s): United States; Ohio, Georgia; Cincinnati, Atlanta, Alpharetta
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.
Role Summary: 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.
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
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
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.
Locations: United States; Ohio, Georgia; Cincinnati, Atlanta, Alpharetta
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