Research Scientist

Summary

Join Equilibrium Energy, a Series B clean energy startup, as a Staff/Sr. Staff Research Scientist. You will leverage your deep power markets expertise to accelerate the development of autonomous energy market participation, asset optimization, and valuation products. As a key member of the sciences group, you will cultivate a culture of experimentation, conduct research on optimization techniques, mentor team members, and collaborate with engineers and product managers. You will use research insights to shape product direction, formulate optimization algorithms, and develop energy market analytics models. This role requires advanced degrees, significant experience in the electricity and energy domain, and proficiency in Python/Julia and optimization techniques. Equilibrium Energy offers a competitive salary, comprehensive benefits, unlimited vacation, flexible work schedule, remote work options, and professional development opportunities.

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

Responsibilities

• Use research insights to shape product direction
• Influence product and engineering roadmaps through presentation of research insights, experimental results, and model performance metrics, in order to evolve organizational direction
• Initiate and lead cross-functional engagements to surface, prioritize, formulate, and structure complex and ambiguous challenges where advanced novel scientific research can have outsized company impact
• Tackle complex scientific & operations research problems by researching published academic literature, surveying industry techniques & intuition, and executing hands-on experimental testing & modeling
• Solve ambiguous energy domain-specific optimal bidding & risk management problems through novel and innovative quantitative solutions and architectures
• Lead medium to long term research projects that advance the state-of-the-art in energy asset management and financial trading performance
• 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

Preferred Qualifications

• 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