Senior Forecasting and Optimization Engineer

Enabling millions of distributed energy devices to deliver reliable and predictable grid services to the electricity industry requires state-of-the-art forecasting, control systems, optimization algorithms, and data science. As such, EnergyHub seeks to hire a Senior Forecasting and Optimization Engineer to join EnergyHub’s Data Science and Power Systems Intelligence team. As a Senior Forecasting and Optimization Engineer you will work closely with some of the brightest minds in the electricity industry to solve some of the most difficult problems in distributed energy. The algorithms and data systems that you contribute to will be key to enabling a carbon-free distributed energy future.

• →Develop and improve accurate and robust energy forecasting models
• →Develop and improve control and optimization algorithms
• →Design, write, test, and deploy production-grade code for mission-critical forecasting and optimization products and related algorithms
• →Build and use tools and processes to monitor and assess the quality of operational forecasting and optimization models
• →Translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders
• →Provide guidance to other engineers and scientists regarding machine learning, forecasting and optimization methods
• →Present results clearly to internal and external stakeholders
• →Collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams
• →Other duties as assigned

• Passion for enabling a carbon-free, distributed energy future
• At least five years of experience in machine learning, statistical analysis, data visualization, control systems engineering, and/or mathematical optimization
• Experience developing data pipelines using large-scale relational databases
• Strong mathematical skills, with the ability to apply new mathematical techniques to real-world problems
• At least three years of hands-on experience with Python and the scientific and machine learning tool stack (Pandas, Numpy, SciPy, Sklearn, PyTorch, and Tensorflow)
• An ability to find valuable insights in large, complex datasets
• Ability to explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting, and actionable
• Ability to have fun while working on really hard problems with really smart people

• Experience bringing long-term research projects, such as an MS or PhD thesis, to a successful conclusion
• Experience building large-scale timeseries forecasting models in a commercial software setting
• Experience developing control and optimization solutions for large-scale problems
• Experience building large-scale forecasting and machine learning products in the cloud (e.g., AWS, GCP, Azure, Snowflake, Databricks)
• A strong background in mathematics and statistics
• Experience using Large Language Models to accelerate software development and reliably add new capabilities to real products

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.