Sr. Data Scientist, Grid Analytics

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

Hiring Manager: Patrick L Shell

TITLE: Sr Data Scientist - Grid Analytics

PERFORMANCE COACH:
Director, Asset Management

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…