The company is looking to optimize the economics and reliability of its $6B multi-commodity fuel & power portfolio and 50 GW+ regulated thermal and renewable generation fleet.
Requirements
- Strong programming skills in data science/mathematical software packages specifically MATLAB, Python, SAS or R; MATLAB and Python expertise strongly preferred.
- 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.
- Practical experience managing data in traditional (Oracle, SQL Server) and/or cloud databases (AWS).
- Practical experience developing dashboards in data visualization tools such as Qlikview and Power BI.
- Advanced knowledge of Excel and VBA.
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.
- 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.
- Create interactive dashboards and reports to maximize the value of data and forecasts in business decision making throughout the organization.
- Present models, analyses and insights to technical and business audiences.
- Follow best practices for model governance and business continuity including version control, robustness/fault tolerance, model documentation, and peer training.
Other
- Bachelor’s degree in Engineering, Computer Science, Mathematics or related field.
- Minimum 5 years related work experience.
- Excellent communication and presentation skills with ability to communicate technical subjects to a wide range of audiences.
- A general understanding or strong interest in utility, power, gas, oil or coal industries.
- Hybrid Mobility Classification – Work will be performed from both remote and onsite locations after the onboarding period.
- 5-15% travel required
- Relocation Assistance Provided (as applicable)
