Tampa Electric is looking to improve the safety, reliability, resilience, and modernization of its electric grid by leveraging advanced data analytics and machine learning. The Sr. Data Scientist will transform complex utility data into actionable insights to identify and mitigate grid performance risks and equipment failures.
Requirements
- Broad knowledge and skills in Analytics and IT/OT system solutions
- 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.
- Ability to apply hypothesis testing, anomaly detection, and probabilistic risk assessment techniques to evaluate system behavior and identify emerging reliability threats.
- Ability and strong knowledge of machine learning models (e.g., random forests, neural networks, gradient boosting) that complement statistical analysis for high-dimensional, multi-source grid data such as 3D LiDAR point cloud data and imagery.
- Ability to lead the design of model validation frameworks, ensuring robust, interpretable, and auditable outputs for operational decision-making.
- Programming: Phyton, R, SQL.
- Tools/Platforms: Databricks, Azure, Snowflake.
Responsibilities
- Lead the development, implementation and operation of Analytics to monitor grid performance. Analytics will include the development and application of statistical and machine learning to detect, track and predict functional equipment and system failures in the distribution grid such as: Anomaly Detection utilizing multivariate statistical models and unsupervised learning algorithms, Time Series Analysis and Forecasting, Failure Mode Prediction utilizing classification models, Survival Analysis to estimate time to failure, Geospatial statistical analysis, Event Detection and Classification, Asset and system degradation modeling, causal inference to link asset failure with contributing factors, Statistical Process Control and others.
- 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 (e.g., SCADA, AMI, LiDAR, thermography, weather).
- 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.
- Communicate and present to data science and utility operations teams, ensuring analytical outputs directly support operational objectives and reliability standards.
Other
- Team members are required to participate in the response/recovery activities related to emergencies/disasters to maintain service to our Tampa Electric customers.
- Mentor others and foster a collaborative environment focused on innovation and technical rigor.
- The ability to explain technical findings to non-technical stakeholders and collaborate across operations, engineering and regulatory teams.
- Communicate findings and recommendations to grid owner/operators, senior leadership, regulatory stakeholders, aligning data-driven insights with business goals.
- Bachelor’s degree in Engineering, Data Science, Applied Mathematics or Statistics.
