Senior Data Scientist, Energy Grid Analytics

Tampa Electric Company; Tampa (FL); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive Benefits package

401k Savings plan with company match

Pension plan

Paid time off

Job summary

Tampa Electric Company is seeking a Senior Data Scientist - Energy Supply to shape analytics that improve safety, reliability, and modernization of generating assets. You will apply advanced analytics, statistics, and ML to transform complex data into actionable insights, coordinating with Asset Management to mitigate risks.

Responsibilities include leading generation analytics, building data pipelines, and driving fleet-level insights via Power BI.

Qualifications

• Bachelor's degree in Engineering, Data Science, Applied Mathematics or Statistics.
• Advanced degree (Master's/PhD) in data science, statistics, engineering and/or information systems preferred.
• 7 years of progressive work experience in data science, analytics or ML with utility/energy exposure.

Responsibilities

• Lead analytics to monitor generation performance using ML, time-series and survival analyses.
• Develop data pipelines and architectures with IT/OT teams for large-scale data ingestion and processing.
• Create fleet-wide analytics on Power BI and coordinate with Data Analytics Platform for data alignment.
• Support performance reporting including Net Generation and outage metrics.

Skills

Analytics

Machine learning

Problem solving

Cross-functional collaboration

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

JavaScript

HTML/CSS

APIs

CLI

Automation

Power BI

Snowflake

Azure

ETL/ELT

Data modeling

Job description

Tampa Electric Company is seeking a Senior Data Scientist - Energy Supply to shape analytics that improve safety, reliability, and modernization of generating assets. You will apply advanced analytics, statistics, and ML to transform complex data into actionable insights, coordinating with Asset Management to mitigate risks.

Responsibilities include leading generation analytics, building data pipelines, and driving fleet-level insights via Power BI.