Business Segment: Global Operations Enterprise Data Management
Location(s): China ; ShangHai; Shanghai
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.
Role Summary: The Data Scientist position could be a key candidate for future analytics and/or business leaders within GE. At this position, you will be responsible for program execution with broad analytics scope and high impact to the GE Global Operations business. You will have the opportunity to lead & execute world class data driven methods, advanced algorithms and capabilities to support the needs of GE businesses
Essential Responsibilities: • Act as a thought leader for the use of Data Analytics to drive critical business decisions, business strategy and able to serve as coach/mentor for data analysts on the team • Develop new data science approaches and methodologies (ex. Neural Nets, Bayesian methods, SVM etc.) to improve operations and business outcomes • Initiate ideas to develop effective value added products & solutions. • Effectively communicate with leadership and other various levels of the organization
Qualifications/Requirements: • MSc or Ph.D. Degree in Statistics, Operations Research, Applied Mathematics, Physics, Natural Sciences, Computer Science, Economics, Management Science, Engineering, Finance • At least 3 years’ experience in developing statistical models and carrying out quantitative analytics • Advanced skilled at data extraction, manipulation, and warehousing tools like SAS/R/Python/Matlab • Excellent statistics application knowledge, specifically in multivariate analysis, Decision tree, machine learning, multiple and logistic regression • Excellent communication skills including fluent English • Motivated, proactive, detail-oriented, professional and diligent • Willing to learn and develop critical data science skills • Willing to take international travel and assignments
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