Senior Data Science Consultant - Power System Economics and Optimization

More than a career - a chance to make a difference in people's lives.

Build an exciting, rewarding career with us – help us make a difference for millions of people every day. Consider joining the Duke Energy team, where you'll find a friendly work environment, opportunities for growth and development, recognition for your work, and competitive pay and benefits.

Position Summary

This position is responsible for the development, application, and maintenance of data, models, and software used to support the economic planning and operation of Duke Energy’s $6B multi-commodity fuel & power portfolio and 50 GW+ regulated thermal and renewable generation fleet. Typical applications include evaluating and integrating renewable energy technologies, optimizing energy storage, simulating commodity prices, forecasting fuel requirements, and other related topics. We are looking for a talented individual with strong programming skills to automate data flows, develop mathematical models, generate insights from data, and author compelling technical documents and presentations to help the organization make data-driven business decisions. Responsibilities* Develop code to transform and automate data flows from market data providers, internal business units, and external vendors to run large generation fleet optimization models and extract outputs for reports.

Basic/Required Qualifications* Bachelor’s degree in Engineering, Computer Science, Mathematics or related field.

Desired Qualifications* Strong programming skills in data science/mathematical software packages specifically MATLAB, Python, SAS or R; MATLAB and Python expertise strongly preferred.

Working Conditions* Hybrid Mobility Classification – Work will be performed from both remote and onsite locations after the onboarding period. However, hybrid employees should live within a reasonable daily commute to a Duke Energy facility.

Travel Requirements

5-15%

Relocation Assistance Provided (as applicable)

No

Represented/Union Position

No

Visa Sponsored Position

No

Posting Expiration Date

Thursday, February 27, 2025

All job postings expire at 12:01 AM on the posting expiration date.

Please note that in order to be considered for this position, you must possess all of the basic/required qualifications.

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