Tampa Electric Company is looking to solve the problem of achieving safety, reliability, resilience, and modernization goals for the electric grid by developing and applying advanced analytics, statistics, machine learning, and domain-specific knowledge to transform complex utility data into actionable insights.
Requirements
- Programming: Phyton, R, SQL.
- Tools/Platforms: Databricks, Azure, Snowflake.
- Data Handling: Extraction, Loading and Transformation (ETL), large dataset manipulation, cloud storage and processing, APIs.
- Visualization: Power BI, ESRI Geospatial Analysis
- Knowledge of statistical models (e.g., regression, time series forecasting, survival analysis, Bayesian methods) to detect patterns, estimate probabilities of failure, and quantify uncertainty in grid performance.
- Development of digital twins and grid simulations, using statistical models to calibrate, validate, and interpret electric grid behavior.
- Ability to apply hypothesis testing, anomaly detection, and probabilistic risk assessment techniques to evaluate system behavior and identify emerging reliability threats.
Responsibilities
- Lead the development, implementation and operation of Analytics to monitor grid performance.
- Lead the development of analytics using Asset Management and formal reliability engineering to achieve safety, compliance, reliability, performance, affordability and resilience goals for the electric grid.
- Lead the vision for analytics in the new Grid Diagnostic center collaborating closely with Technology (information and operational technology) department to develop data pipelines and architectures that support the acquisition, storage, and processing of large-scale grid data.
- Lead the development of the analytics functions for Distribution grid models.
- Lead development of analytics for the support of Storm operations.
- Help define and execute the diagnostic center’s data strategy, integrating statistical analysis and predictive modeling into grid reliability programs.
- Mentor others and foster a collaborative environment focused on innovation and technical rigor.
Other
- Bachelor’s degree in Engineering, Data Science, Applied Mathematics or Statistics.
- 7 years of progressive work experience data science, analytics, machine learning engineering, with at least 2 years in the utility, energy or related sector.
- Travel within the Tampa Electric Service Area.
- Normal office environment. Occasionally required to work in an industrial environment.
- Responding to storms will be considered a condition of employment.
