Research Scientist - Power Markets

September 17

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Equilibrium Energy

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Description

• Use research insights to shape product direction: Influence product and engineering roadmaps through presentation of research insights, experimental results, and model performance metrics. • Optimization algorithms formulation & research: Tackle complex scientific & operations research problems by researching published academic literature, surveying industry techniques & intuition, and executing hands-on experimental testing & modeling. • Energy market analytics: Develop models and tools to analyze the behavior of electricity markets, including power prices, ancillary services dispatch, grid network models, transmission outages & constraints, and optimal power flows.

Requirements

• Passion for clean energy and fighting climate change • An advanced degree in computer science, operations research, electrical engineering, power systems, or related quantitative discipline • 4+ years experience in the electricity & energy domain (e.g. power systems modeling, power flow, security constrained unit commitment, economic dispatch etc) • 3+ years experience with python and/or julia, and the supporting science tool suite (e.g. numpy, scipy, pandas, JuMP, etc) • Experience with optimization techniques (e.g. stochastic optimization, robust optimization) • Experience with optimization modeling packages and solvers • Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences • A collaboration-first mentality, with a willingness to teach as well as learn from others • Demonstrated experience with developing and releasing operational optimization models in the electricity and energy domain • Experience with various US energy markets, including PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO • Experience with forecasting & time series problems • Experience with database technologies and sql • Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit) • Experience leading and mentoring a team of scientists • Demonstrated track record of academic paper or social media publication

Benefits

• Competitive base salary and a comprehensive medical, dental, vision, and 401k package • Opportunity to own a significant piece of the company via a meaningful equity grant • Unlimited vacation and flexible work schedule • Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech