Senior Forecasting and Optimization Engineer

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $150k - $175k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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EnergyHub

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚡ Energy

☁️ SaaS

🏢 Enterprise

💰 $500k Debt Financing on 2012-12

Energy • SaaS • Enterprise

EnergyHub is a company that specializes in distributed energy resource management (DERMS) solutions. They help utilities to quickly scale virtual power plants (VPPs) and manage load growth and renewables, promoting reliable flexibility at every level of the grid. Their platform orchestrates cross-device energy resources like thermostats, batteries, and electric vehicles to shape loads, reduce congestion, and expand storage capacity. EnergyHub also provides end-to-end services for successful program design and management, including demand response strategies and dynamic load shaping to optimize grid performance. Their ecosystem is the largest of its kind in the industry, leveraging partnerships with DER providers to deliver effective energy solutions.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 100% paid medical for employees • 401(k) with employer match • Casual environment • Flexibility to set your own schedule • Fully stocked fridge and pantry • Free Citi Bike membership • Secure bike rack • Gym subsidy • Paid parental leave • Education assistance program