Description
Energy Analytics Developer – Optimization, Boulder, CO, or Remote within the U.S.
We are looking for an Energy Analytics Developer – Optimization with a strong commitment to energy system modeling to join our team in Boulder, CO (remote work possible from other locations). You make cross-functional contributions to energy optimization, and will be responsible for advancing software solutions and analytics to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe.
Ascend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid to renewables. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies over the next hour, to hedging and budgeting decisions over the next five years, to long-term investment and resource planning decisions over the next thirty years.
For more information, visit www.ascendanalytics.com.
Job Responsibilities
Solve complex analytic problems to make mission critical decisions for energy supply by:
- Translating requirements into model formulation
- Implementing forecasting and optimization models for operation and valuation of renewable resources and battery storage
- Develop both prototype models and production software
- Supporting existing commercial software and production systems
- Optimization techniques including: computational stochastic optimization, decision making under uncertainty, statistical learning, algorithms in statistics and finance applications, stochastic search, simulating high penetrations of wind and solar energy, optimizing generation under uncertainty, unit dispatch and transmission modeling, modeling of hydroelectric storage systems, and planning and control of electric battery storage.
Required Qualifications:
- Masters in Electrical Engineering, Computer Science, Operations Research, Economics, Power Systems, or related disciplines
- 1+ year experience in an energy optimization focused role in industry or academics
- Optimization methods and commercial solvers (e.g., GAMS, Goroubi, CPLEX, Xpress)
- Familiarity with relational database platforms (Oracle, MS SQL, Postgres)
- Ability to communicate with impact and confidence, both verbally and in writing
- Strong interpersonal skills, teamwork skills, and work ethic
Preferred Qualifications:
- PhD in Electrical Engineering, Computer Science, Operations Research, Economics, Power Systems, or related disciplines.
- Interest in learning about and deploying novel software solutions
- Prior knowledge of, or strong interest in learning about wholesale electricity markets
- Python and relevant libraries (e.g., NumPy, Pandas, SciPy)
Compensation ($100,000 - $160,000)
Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average.
We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.
We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.
Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected]
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