The Sr. Data Scientist, you will work as part of a world class team addressing the needs of the GE Digital Services Renewable business. In this role, you will be responsible for making devices more intelligent and advancing technology to the world we live in. You will play a key role in transforming large complex data sets into actionable insights that impact the bottom-line of the organization, thereby increasing revenue, reducing costs, and lowering the risk of our customers.
Job Description
The Sr 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, optimization, and statistical methods for finding structure in large data sets. You will be part of a data science / cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring, diagnostics, prognostics, and forecasting across infrastructure and industrial sectors, and operations optimization.
Essential Responsibilities:
Qualifications:
Eligibility Requirements:
Desired Characteristics:
About us:
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.
*Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.
General Electric Company is an American multinational conglomerate incorporated in New York City and headquartered in Boston. As of 2018, the company operates through the following segments: aviation, healthcare, power, renewable energy, digital industry, additive manufacturing and venture capital and finance.
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