Senior Data Scientist Position Available In Chittenden, Vermont

Senior Data Scientist
at EnergyHub, Inc. in Burlington, Vermont, United States
Job Description
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.
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 data science, control systems and machine learning algorithms. As such, EnergyHub seeks to hire a Senior Data Scientist to join EnergyHub’s Data Science and Power Systems Intelligence team. As a Senior Data Scientist 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 management software systems that you contribute to will be key to enabling a carbon-free distributed energy future.

Main Responsibilities:

What you’ll do
Drive the development of algorithms and software tools for enabling and evaluating advanced grid services from fleets of distributed energy resources, like electric vehicles, batteries, and flexible heatingcooling systems.
Develop new mathematical models, write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data
Translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights and new software products for electric utilities and other energy industry 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
At least 5 years of experience in data science, machine learning andor control systems engineering roles
Passion for enabling a carbon-free, distributed energy future
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 stack (pandas, numpy, scipy)
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 developing control and optimization solutions for large-scale problems
Experience developing solutions in the electricity industry in areas that require advanced algorithms, such as control systems for distributed energy resource (DER) management, transmission and distribution system engineering, or power generation dispatch optimization
Experience using machine learning algorithms including experience with ML software packages such as Sklearn, PyTorch, and Tensorflow.
Experience building large-scale data science products in the cloud (e.g., Databricks, AWS, GCP, Azure, Snowflake)
A strong background in mathematics and statistics
Experience using Large Language Models to accelerate software development and add new capabilities to real products
Experience developing software systems for cloud deployment
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.
Focus on fun: EnergyHub places high value on our team culture. Happy hours and holiday parties are important to us, but what’s also important is how our employees feel every single day.
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… For full info follow application link.
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