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: Responsible for designing, developing and testing software to create industrial internet products and services tailored to the needs of the GE businesses and external customers. Requires mastery of a body of theoretical knowledge. Requires developed and strong foundation of function skills and knowledge of relevant technologies.
Essential Responsibilities: Finds and interprets data sources, manages large amounts of data, merges data sources together, ensures consistency of data-sets, creates visualizations to aid in understanding data, builds mathematical models using the data, and communicates insights/findings in simplified way to reach people who not understand complex statistics. Specialized Data Science or Research in advanced analytics field. Develops new solutions under guidance and/or in a team setting or based upon precedents in the organizations. Works together with business leadership at SPB and EB level. Specifies needs, communicates about project approach and presents outcomes of research done. Delivers products as part of a team. Works on cross functional teams. Alternatively: Leads analytical and design activities using proven technologies and vested approaches and methods.
Qualifications/Requirements: Bachelor's degree from an accredited university or college (or a high school diploma / GED with at least 4 years of experience in Engineering). Minimum of 3 additional years of experience in Data Analytics Science.
Desired Characteristics: Strong oral and written communication skills. Strong interpersonal and leadership skills. Ability to influence others and lead small teams. Lead initiatives of moderate scope and impact. Ability to coordinate several projects simultaneously. Effective problem identification and solution skills. Proven analytical and organizational ability.
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