Data Analytics Specialist Sr

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At Tampa Electric, dependable electricity starts with dedicated individuals whose talent, skill and passion drive our success. We’ve been lighting the way for West Central Florida for more than 125 years—and we’re just getting started.

Join us and build a rewarding career with competitive pay, comprehensive benefits and a culture that supports your growth. Your potential finds its purpose at Tampa Electric.

We proudly deliver 99.98% electric service reliability to nearly 860,000 customers across 2,000 square miles of Hillsborough County and parts of Polk, Pasco and Pinellas counties. Through innovation and strategic investments, we’re creating a cleaner, brighter energy future—while delivering exceptional service every step of the way.

We reflect the communities we serve and foster a workplace where every employee feels welcomed, valuedand engaged. Join our team of energy experts and help shape the future of power.

Tampa Electric and its sister companies serve a role in providing critical services to our community during an emergency. Team members are required to participate in the response/recovery activities related to emergencies/disasters to maintain service to our Tampa Electric customers. Team members are required to work in their normal job duties or other assigned activities. Proper compensation will be made in accordance with the company's rules and procedures.

Responding to stormswill be considered a condition of employment.

The Sr Data Scientist - Drone Diagnostics plays a critical role in achieving our safety, reliability, resilience and modernization goals for electric grid. Develops and applies advanced analytics, statistics, machine learning and domain-specific knowledge to transform complex utility data (smart meter, grid operational, geospatial and imagery) into actionable insights. Coordinates closely with the Drone and Diagnostics Center to identify grid performance risks and advise on proactive mitigation of equipment, system and operational failures ensuring safety, compliance, reliability, performance, affordability and resilience of the electric grid.

Develops the vision for the Drone and Diagnostics Center to provide comprehensive grid performance insights which bridge data engineering, operations, system planning, maintenance, engineering and other grid functions.

• 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 to achieve safety, compliance, reliability, performance, affordability and resilience goals for the electric grid. These analytics support the prioritization of maintenance in distribution grid and measurement of the impact of maintenance, track prioritized backlog of grid maintenance, capital improvement and operational improvements for stakeholders.
• Lead the direction for analytics in the new Diagnostic center collaborating closely with Technology (information and operational technology) department to develop data pipelines…