Gridmatic

Optimization Research Scientist

Gridmatic

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $160,000 - $250,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Python

About the role

  • We are looking for an Optimization Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems. Keep abreast of latest advances in optimization research in order to consider if any new methods are especially promising for problems in the electricity market space. Design and analyze optimization formulations for problems arising in battery operations, energy trading, and other business areas. Develop predictive models that generate optimization inputs, such as predicting future energy prices. Promote optimization based decision making and mathematical modeling across the company. Author research papers in the fields of optimization, operations research, and decision making under uncertainty. Write and review code, with attention to performance and readability.

Requirements

  • have a strong publication record demonstrating expertise in mathematical optimization. have earned a PhD in applied mathematics, operations research, or a related quantitative field. have deep knowledge of optimization techniques, particularly for convex optimization problems. show proven experience researching and applying optimization techniques. are able to write robust code in Python. are familiar with optimization libraries like CVXPY. are experienced with classical or deep learning based time series forecasting. have excellent mentorship, communication, and teamwork skills. have enthusiasm for learning. Knowledge of the energy industry is a strong plus. We recognize some candidates may hesitate to apply if they do not have all the listed skills. We encourage interested individuals to apply if they have relevant skills even if they do not have experience in every listed area.