Data Scientist

If you are interested, you would be a valuable member of a market monitoring team that studies wholesale electricity markets throughout the United States. This includes designing, creating, and utilizing databases and custom software to analyze a wide array of market data. The team uses this monitoring software to evaluate the performance of competitive markets, identify potential improvements in market design, and detect attempts to manipulate the market or exercise market power.

Primary Responsibilities:

• Producing efficient Python code to process, visualize, and analyze market data
• Developing dashboards, figures, tables, and other work products to convey clearly the results of analyses using tools like Excel, PowerBI, and Python
• Troubleshooting, debugging, maintaining, and improving existing data processing and analysis software in Python and SAS
• Identifying and recommending improvements to existing software and analyses

A successful Data Scientist will:

• Communicate analytical conclusions in a straightforward manner
• Demonstrate the ability to utilize data analysis software to effectively analyze large quantities of market data
• Collaborate effectively with analysts and market experts
• Work productively with limited oversight
• Develop code that is easy to maintain and reuse

Experience:

• Bachelor’s or Master’s degree in Economics, Data Science, or another relevant field of study
• 3 or more years of experience with data analysis in Python, Pandas, SAS, SQL, etc.
• Industry knowledge of electricity/energy markets is preferred

This includes designing, creating, and utilizing databases and custom software to analyze a wide array of market data

The team uses this monitoring software to evaluate the performance of competitive markets, identify potential improvements in market design, and detect attempts to manipulate the market or exercise market power

Producing efficient Python code to process, visualize, and analyze market data

Developing dashboards, figures, tables, and other work products to convey clearly the results of analyses using tools like Excel, PowerBI, and Python

Troubleshooting, debugging, maintaining, and improving existing data processing and analysis software in Python and SAS

Identifying and recommending improvements to existing software and analyses

Communicate analytical conclusions in a straightforward manner

Demonstrate the ability to utilize data analysis software to effectively analyze large quantities of market data

Collaborate effectively with analysts and market experts

Work productively with limited oversight

Develop code that is easy to maintain and reuse