Job Opportunities API

About the Opportunity 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. Main Responsibilities: What you’ll do 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 Required Skills and Experience: What you need 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 Preferred Skills and Experience: Nice-to-haves 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. Why work for EnergyHub? Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other. Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team! Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across