Energy Vault is hiring a
Principal Electricity Market Optimization Engineer in United States

Summary

Energy Vault is seeking a talented Principal Electricity Market Optimization Engineer to join their data science team. The role involves developing python codes for algorithmic optimization solutions, machine learning, and analytics tools. The candidate should have an MS or PhD in Electrical Engineering, Computer Science, Operations Research, or related, with 3+ years of experience in developing optimization models in python using commercial solvers, 5+ years of experience in Data Science roles, 3+ years of experience in python development, and experience working with data science teams and agile environment.

Requirements

• MS or PhD in Electrical Engineering, Computer Science, Operations Research, or related
• In-depth knowledge of electricity market fundamentals
• 3+ years of experience in developing optimization models in python using commercial solvers (CPLEX, Gurobi, Xpress, etc.)
• 5+ years of experience in Data Science roles
• 3+ years of experience in python development. Experience in production grade coding is highly desired

Responsibilities

• Develop product level python code for algorithmic optimization solutions and machine learning based analytics tools
• Implement electricity market (mainly CAISO and ERCOT) rules and operational constraints to optimization models
• Assist with formulation of optimal financial and physical trading positions within different market products
• Implement price forecasting and/or develop software features to integrate third-party forecast data
• Analyze asset operation in short-term power trading and perform back-cast simulations to evaluate alternative trading strategies

Preferred Qualifications

• Experience working with data science teams and agile environment is preferred
• Experience with time-series data and databases are highly desired
• Experience in developing machine learning models

Benefits

#LI-remote #LI-CG1