Senior Data Science Consultant - Power System Economics and Optimization at Duke Energy Corporation

Charlotte, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Mathematical Software, Programming, Model Development, Data Visualization, Machine Learning, Optimization Techniques, Statistical Analysis, Dashboard Development, Communication Skills, Technical Documentation, Database Management, Forecasting, Energy Economics, Cloud Databases, Interactive Reporting

Industry

Utilities

Description

Important Application Submission Information In order to ensure your application is successfully received before the job posting expires, please submit your application by 11:59 PM on Wednesday, October 22, 2025 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. Take ownership of existing or new models and analytic tasks supporting the optimization of the economics and reliability of Duke Energy assets and systems. Evaluate assumptions, accuracy, and performance of models. Frequently update/maintain models as technical and business requirements change. Present models, analyses and insights to technical and business audiences. Communicate/educate and train at all levels in the organization. Establish and manage tools and practices to optimize performance of large data applications including on-premises and cloud databases. Author technical documents and white papers for internal and external audiences, create compelling visualizations and contribute to regulatory filings and testimony. Follow best practices for model governance and business continuity including version control, robustness/fault tolerance, model documentation, and peer training. Create interactive dashboards and reports to maximize the value of data and forecasts in business decision making throughout the organization. Basic/Required Qualifications Bachelor’s degree in Engineering, Computer Science, Mathematics or related field. Minimum 5 years related work experience. Desired Qualifications Strong programming skills in data science/mathematical software packages specifically MATLAB, Python, SAS or R; MATLAB and Python expertise strongly preferred. Strong understanding of probability distributions, stochastic processes, tail risk estimation. Excellent communication and presentation skills with ability to communicate technical subjects to a wide range of audiences. Practical experience with real-world implementation of regression and machine learning models. Experience with mathematical optimization techniques and production cost models. Practical knowledge of timeseries simulation methods and related analysis including PCA, covariance analysis, cointegration, ARIMA and Box-Jenkins analysis. A general understanding or strong interest in utility, power, gas, oil or coal industries. Practical experience managing data in traditional (Oracle, SQL Server) and/or cloud databases (AWS). Able to create tables/views and query large databases with minimal assistance. Practical experience developing dashboards in data visualization tools such as Qlikview and Power BI. Advanced knowledge of Excel and VBA. 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 the designated Duke Energy facility Travel Requirements Relocation Assistance Provided (as applicable) No Represented/Union Position No Visa Sponsored Position No Please note that in order to be considered for this position, you must possess all of the basic/required qualifications. Privacy Do Not Sell My Personal Information (CA) Terms of Use Accessibility Current Duke Energy Employees Current employees should utilize the internal career page to apply for available job postings Job Alerts Learn how to set up job alerts here. Future Interest Stay connected with Duke Energy by joining our Talent Community. Share your information and take the first step towards a brighter future with us! My Applications Check on the status of your application on your Candidate Home page. Need Assistance? View a step-by-step application guide for assistance in completing the process. Contact our team for questions on our hiring process. Diversity & Inclusion Read about our commitment to supporting a diverse and inclusive workforce. About Duke Energy Terms of Use Brighter opportunities. Brighter futures. Duke Energy values ideas that come from a diverse and inclusive workforce, and we’re dedicated to providing a work environment where all people are valued, respected and able to reach their full potential. Duke Energy is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, sex, pregnancy, childbirth or related medical conditions, including but not limited to lactation, religion, national origin, ancestry, ethnicity, citizenship, sexual orientation, gender identity, gender expression, age, marital status, physical or mental disability, genetic information, medical condition, military status, or protected veteran status. Duke Energy complies with all applicable state, federal and local laws, regulations and ordinances prohibiting discrimination. Privacy California Consumer Privacy Statement Duke Energy Notice to Employees: Government Contractor Whistleblower Protections Do Not Sell or Share My Personal Information (CA) Terms of Use Accessibility

Responsibilities

This position involves developing, applying, and maintaining data, models, and software for economic planning and operation of Duke Energy’s fuel and power portfolio. Responsibilities include automating data flows, optimizing models, and presenting insights to support data-driven business decisions.