Senior Data Scientist — Energy Fleet Analytics

Tampa Electric; Lutz (FL); On-site; USD 125,000 - 190,000; Full time

Benefits offered by this job

Competitive Salary

401k Savings plan w/ company matching

Pension plan

Paid time off

Paid Holiday time

Medical, Prescription Drug, & Dental

Tuition Assistance Program

Employee Assistance Program

Wellness Programs

On-site Fitness Centers

Bonus Plan

Job summary

Tampa Electric is seeking a Senior Data Scientist - Energy Supply to lead analytics for generation performance, leveraging statistics, machine learning and domain knowledge. You will develop data pipelines for PI, GADS, GPIF, PGS data, and create fleet-level insights to guide maintenance, reliability and capital planning.

You will collaborate with Asset Management to identify risks, build predictive models, and deliver actionable insights, while mentoring teams and guiding data strategy across

Qualifications

• 7 years of progressive work experience in data science, analytics, machine learning engineering, with at least 2 years in the utility or energy sector.
• Bachelor’s degree in Engineering, Data Science, Applied Mathematics or Statistics is required.
• Advanced degree in data science or related fields is preferred.
• Strong knowledge of analytics, IT/OT systems, and ability to translate technical results for non-technical stakeholders.

Responsibilities

• Lead development, implementation and operation of analytics to monitor generation performance using advanced statistics and ML.
• Collaborate with Asset Management to prioritize maintenance and measure impact of maintenance and operations.
• Develop data pipelines and architectures to store and process large-scale data (PI, GADS, GPIF, PGS, etc.).
• Create fleet-level analytics on Power BI for performance comparison and operational review.

Skills

Python

SQL

Machine Learning

Time Series

Statistical Analysis

Data Visualization

Power BI

Data Engineering

ETL/ELT

Cloud Platforms

API Integration

SQL Server

Snowflake

Azure

Big Data

Education

Bachelor’s degree in Engineering, Data Science, Applied Mathematics or Statistics

Advanced degree (Master’s or PhD) in data science, statistics, engineering and/or information systems

Tools

Python

SQL

HTML/CSS

APIs

CLI

Power BI

SQL Server

Snowflake

Azure

Job description

Tampa Electric is seeking a Senior Data Scientist - Energy Supply to lead analytics for generation performance, leveraging statistics, machine learning and domain knowledge. You will develop data pipelines for PI, GADS, GPIF, PGS data, and create fleet-level insights to guide maintenance, reliability and capital planning.

You will collaborate with Asset Management to identify risks, build predictive models, and deliver actionable insights, while mentoring teams and guiding data strategy across