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Leading the development of innovative modeling approaches for power utilization, the full-time Research Scientist, Infrastructure Modeling will create statistical and machine learning models to monitor power consumption and inform infrastructure planning decisions in a remote capacity.
Key responsibilities: Define the scientific and technical strategy for modeling power consumption and reliability tradeoffs across large-scale infrastructure systems Develop statistical, machine learning, and optimization models to forecast power demand and support operational decision-making Collaborate with cross-functional teams to translate model outputs into infrastructure planning and utilization strategiesRequired qualifications 10+ years of experience in developing statistical, machine learning, or quantitative modeling systems Experience leading cross-functional technical programs from problem definition to model deployment Proficiency in coding with Python, R, C++, Java, or similar languages for data analysis and modeling Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field Experience communicating complex technical concepts to both technical and non-technical audiences

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Level

Lead L6

Location

New York, NY

Occupation

Computer and Information Research Scientists

Industry

Other Scientific and Technical Consulting Services

Posted

3 days ago

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