Energy Resilience Data Scientist — Hybrid, Impactful Grid ML

A renowned national laboratory is seeking an Energy Resilience Data Scientist to enhance the resilience of energy systems through data science and machine learning. The successful candidate will develop predictive models, collaborate with engineering teams, and publish research findings to support critical infrastructure resilience. A Master’s degree in a related field is required, along with strong Python skills and experience in applied machine learning.

This position offers a salary range of $146,340 – $222,564 annually, depending on experience.
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