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Research Scientist
1 month ago
We are seeking a highly skilled Research Scientist to join our team at Equilibrium Energy. As a key member of our sciences group, you will play a crucial role in accelerating the design and delivery of our autonomous energy market participation, asset optimization, and valuation products.
Key Responsibilities:- Use research insights to shape product direction and influence organizational direction through presentation of research insights, experimental results, and model performance metrics.
- 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.
- 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.
- Advanced degree in computer science, operations research, electrical engineering, power systems, or related quantitative discipline.
- 4+ years experience in the electricity & energy domain, including 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) and optimization modeling packages and solvers.
- Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences.
- 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. Dash, Streamlit).
- Experience leading and mentoring a team of scientists.
- Demonstrated track record of academic paper or social media publication.