Job Description

Energy Analytics Developer – Optimization

Boulder, CO or Remote

We are looking for a 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). If you want to help shape a new future of a cleaner and more cost-effective energy supply and work with an industry-leading software company with dedicated and talented people who are passionate about our future, this could be a great fit.

AscendAnalyticsis 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 decisionsover the next thirty years.

Job Description

As an Energy Analytics Developer at Ascend Analytics, you 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. Responsibilities include prototyping new solutions and extending existing models. Required skills include knowledge of mixed integer linear programming, simulations and stochastic processes. Familiarity with electrical energy systems and markets is preferred.

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

This position also involves 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.

Education & Experience

  • Masters in Electrical Engineering, Computer Science, Operations Research, Economics, or Power Systems; PhD Preferred
  • 3+ years of industry or academic experience in the field

Required Skills & Knowledge

  • Time series modeling and advanced statistics
  • 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
  • Interest in learning about and deploying novel software solutions
  • Prior knowledge of, or strong interest in learning about wholesale electricity markets
  • Preferred, Experience in Python and relevant libraries (e.g., NumPy, Pandas, SciPy)

Compensation ($130,000 – $190,000)

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 and opportunities for advancement. Excellent benefits are available, including medical, dental, vision, short- and long-term disability insurance, dependent care spending account, and 401k plan. Ascend values their employees’ overall well-being and contributes a monthly stipend to any gym membership our employees choose. Ascend Analytics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.