What we are looking for
Equilibrium was founded with a vision for building a company where innovation, collaboration, optimization, machine learning, and data science power all aspects of our algorithmic decision-making. We are looking for a staff / sr staff research scientist with deep power markets domain expertise to accelerate the design and delivery of the autonomous energy market participation, asset optimization, and valuation products that will drive the future success of our company.
As a key member of our sciences group, you will play an active role in a) cultivating our culture of experimentation, insights discovery, and incremental delivery, b) facilitating research into state of the art operations research & optimization techniques, c) helping to identify, recruit, train, and mentor members of our growing team of exceptional scientists, and d) partnering with our engineers, product managers, computational scientists, analysts, and commercial team to influence the near to medium term product roadmap.
What you will do
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.
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. 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.
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.
The minimum qualifications you'll need
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
Nice to have additional skills
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
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