Senior Forecasting and Optimization Engineer

🕒 Julho 6

🗽 New York – Remoto

🗽 New York – Remote

💵 $150.000 - $175.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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EnergyHub

SiteLinkedInTodas as Vagas

51 - 200 funcionários

⚡ Energia

☁️ SaaS

🏢 Corporativo

💰 $500.000 Debt Financing em 2012-12

Energy • SaaS • Enterprise

A EnergyHub é uma empresa que se especializa em soluções de gerenciamento de recursos energéticos distribuídos (DERMS). Eles ajudam as concessionárias a expandir rapidamente usinas de energia virtual (VPPs) e a gerenciar o crescimento da carga e fontes renováveis, promovendo flexibilidade confiável em todos os níveis da rede elétrica. Sua plataforma orquestra recursos de energia de diversos dispositivos, como termostatos, baterias e veículos elétricos, para moldar cargas, reduzir congestionamentos e expandir a capacidade de armazenamento. A EnergyHub também fornece serviços de ponta a ponta para o sucesso no design e gerenciamento de programas, incluindo estratégias de resposta à demanda e modelagem de carga dinâmica para otimizar o desempenho da rede. Seu ecossistema é o maior do gênero no setor, aproveitando parcerias com fornecedores de DER para oferecer soluções energéticas eficazes.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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