Tampa Electric · 1 month ago
Sr. Data Scientist, Grid Analytics
Tampa, FL
Full-time
Onsite
Senior Level
7+ years expTampa Electric is seeking a Senior Data Scientist specializing in Grid Analytics to enhance the safety and reliability of the electric grid. The role involves developing advanced analytics and machine learning techniques to transform complex utility data into actionable insights, while collaborating with various stakeholders to mitigate risks and improve grid performance.
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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. 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 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). This includes the geospatial acquisition of asset condition from patrols, Remote Sensing, the collection, processing and the application of Analytics on this data to inform work and operational changes
Lead the development of the analytics functions for Distribution grid models. This includes coordination with other electric system modeling stakeholders (Planning, DCC, DEO and others) to represent (computer model) the design/expected performance of the electric grid. The Sensing function is the establishment of requirements and the development of Sensing systems to measure the performance of the grid. This includes the communication, networking, storage and Analytics required to visualize the performance of the electric grid
Lead development of analytics for the support of Storm operations. This is a multi-year, multi-department roadmap to develop an improved estimation of expected damage, tracking of actual damage and outages in the grid, optimization of restoration, tracking of resources supporting restoration
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. Communicate findings and recommendations to grid owner/operators, senior leadership, regulatory stakeholders, aligning data-driven insights with business goals
Mentor others and foster a collaborative environment focused on innovation and technical rigor
Qualification
Required
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
Broad knowledge and skills in Analytics and IT/OT system solutions (see preferred below) and a problem-solving mindset with a focus on actionable outcomes
The ability to explain technical findings to non-technical stakeholders and collaborate across operations, engineering and regulatory teams
Preferred
Advanced degree (Master's or PhD) in data science, statistics, engineering and/or information systems representing a blend of data science and ability to apply data science to understand electric grid performance
Graduate course work in Machine Learning/AI, predictive modeling, time-series forecasting, power system reliability or risk analysis
Certified Analytics Professional, ESRI GIS Certification, Python for Data Science, Reliability related certification, etc
Electric utility engineering and operational, distribution grid asset experience with experience applying data science, analytics with interdisciplinary team of engineers, field operators and Information Technology teams
Knowledge of the following: 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
Benefits
401k Savings plan w/ company matching
Pension plan
Paid time off
Paid Holiday time
Medical, Prescription Drug, & Dental Coverage
Tuition Assistance Program
Employee Assistance Program
Wellness Programs
On-site Fitness Centers
Bonus Plan and more!
Company
Tampa Electric
TECO Energy Inc. is an energy-related holding company.
1001-5000 employees
H1B Sponsorship
Tampa Electric has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (15)
2023 (6)
2022 (22)
2021 (7)
2020 (16)
Funding
Current Stage
Late StageLeadership Team
Brandon Church, SHRM-CP
Human Resources Business Partner
Recent News
2025-10-18
St Pete Catalyst
2025-10-07
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