Sr. Data Scientist,Grid Analytics Job Tampa area,Florida USA,Engineering

Title: Sr. Data Scientist, Grid Analytics
Company
:
Tampa Electric Company
Location: Bayside Station
State and City: Florida - Tampa
Shift: 8 Hr. X 5 Days

Hiring Manager: Lauren Zaluk

Recruiter: Mark E Koener

TITLE:
Sr Data Scientist - Grid Analytics

PERFORMANCE COACH:
Director, Asset Management

COMPANY:
Tampa Electric

DEPARTMENT:
Asset Management

POSITION CONCEPT:

The Sr Data Scientist - Grid Analytics 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 Manager, Asset Management Distribution 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 grid analytics to provide comprehensive grid performance insights which bridge data engineering, operations, system planning, maintenance, engineering and other grid functions.

Primary Duties and 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.

SUPERVISION

Indirect Supervision: May have indirect supervision of project and System governance teams.

RELATIONSHIPS

Key Internal: Asset Management, AAOS, DEO, DCC, ECC, Substation, Transmission operations and engineering (VP, directors, managers and program leads). Works with IT business relationship manager to prioritize a system portfolio roadmap and coordinate execution of the projects. IT and ES technical leads to develop and implement an effective technology plan.

Key External: Consultants (Solution implementers, etc.), Contractors, Industry Associations, Vendors

QUALIFICATIONS

Education

Required: Bachelor’s degree in…


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