Senior Forecasting and Optimization Engineer

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 multiple areas of the business.

Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.

Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

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.

Company Benefits

EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program.

EnergyHub is an Equal Opportunity Employer

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.

Notice To Third Party Agencies:

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. The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience.  This allows opportunity for growth and development within the role.  The base salary offered is part of a total compensation package.  

Base Salary Range $150,000 — $175,000 USD