Senior Energy Forecasting & Optimization Engineer

EnergyHub; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

100% paid medical

401(k) with employer match

Flexible schedule

Free Citi Bike membership

Gym subsidy

Paid parental leave

Education assistance

Job summary

EnergyHub is hiring a Senior Forecasting and Optimization Engineer to join its Data Science and Power Systems Intelligence team. You will develop forecasting models and optimization algorithms for distributed energy resources and deploy production-grade software.

You will collaborate with utilities and energy stakeholders, build data pipelines, and mentor other engineers on ML, forecasting and optimization methods.

Qualifications

• At least five years of experience in ML, statistics, data visualization, control systems engineering, or mathematical optimization.

Responsibilities

• Develop and improve energy forecasting models.
• Develop and improve control and optimization algorithms.
• Design, write, test, and deploy production-grade forecasting and optimization software.
• Monitor and assess the quality of operational forecasting and optimization models.
• Translate data from large distributed energy datasets into actionable insights for utilities.
• Provide guidance on ML, forecasting, and optimization methods to engineers and scientists.
• Present results to internal and external stakeholders.
• Collaborate with Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams.

Skills

Machine learning

Statistical analysis

Data visualization

Control systems

Mathematical optimization

Python

Pandas

NumPy

SciPy

PyTorch

TensorFlow

Tools

Relational databases

Job description

EnergyHub is hiring a Senior Forecasting and Optimization Engineer to join its Data Science and Power Systems Intelligence team. You will develop forecasting models and optimization algorithms for distributed energy resources and deploy production-grade software.

You will collaborate with utilities and energy stakeholders, build data pipelines, and mentor other engineers on ML, forecasting and optimization methods.