Sr Data Scientist - Energy Supply

Teco Energy; Tampa (FL); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive Salary

401k Savings plan with companymatching

Pension plan

Paid time off and holidays

Medical, Prescription Drug, and Dental

Job summary

Teco Energy in Tampa, FL, seeks a Senior Data Scientist to lead analytics, ML, and reliability initiatives for generation assets. This onsite role partners with engineering teams to turn asset data into actionable insights that improve performance, monitoring, and fleet availability.

You will mentor colleagues, define analytics strategy, build dashboards in Power BI, and apply time-series, anomaly detection, and survival analyses to inform maintenance and capital planning.

Qualifications

• Bachelor's degree in Engineering, Data Science, applied math, or statistics.
• 7 years in data science/analytics with at least 2 years in the utility/energy sector.
• Ability to translate complex findings for non-technical stakeholders.
• Experience with IT/OT analytics and data integration.

Responsibilities

• Lead the development, implementation, and operation of analytics to monitor generation performance using statistics and ML.
• Build and apply anomaly detection using multivariate models; develop time series analysis and forecasting.
• Develop analytics using asset management and reliability engineering to support safety, reliability and performance goals.
• Prioritize maintenance of generating assets and track backlog and improvements for stakeholders.
• Define fleet-level analytics vision with data pipeline and large-scale data sources.
• Support acquisition of asset condition data and apply analytics to inform decisions.
• Develop fleet-level analytics in Power BI to compare performance and review operations.
• Oversee data strategy and Data Analytics Platform access for engineering teams.
• Mentor others and foster a collaborative, innovative environment.
• Potentially supervise project and governance teams.

Skills

Data science

Analytics

Stakeholder comms

Problem solving

Education

B.S. in Engineering/Data Science

Tools

Python

SQL

Power BI

Azure

Snowflake

Job description

Teco Energy is looking for a Senior Data Scientist to help turn generation asset data into practical, data-driven decisions. In this onsite role in Tampa, you will lead advanced analytics, statistics, and machine learning efforts that improve performance monitoring, failure prediction, and fleet reliability, while shaping analytics capabilities across engineering teams.

What you'll do

• Lead the development, implementation, and operation of analytics to monitor generation performance, including statistical and machine learning methods to detect, track, and predict functional equipment and system failures.
• Build and apply anomaly detection using multivariate statistical models and unsupervised learning; develop time series analysis and forecasting; create failure mode prediction using classification models; and apply survival analysis.
• Develop analytics using asset management and formal reliability engineering to support safety, compliance, reliability, performance, affordability, and resilience goals for the generating fleet.
• Prioritize maintenance of generating assets, measure the impact of maintenance, and track prioritized maintenance backlog, capital improvement, and operational improvements for stakeholders.
• Define the fleet-level analytics vision in close collaboration with the Technology (information and operational technology) organization, including data pipeline and architecture development for large-scale data sources such as PI, Canary, Workman, GADS, GPIF, PGS Gas Data, and Gridmax.
• Support acquisition of asset condition data from inspections, reports, and performance data, then apply analytics to inform work and operational decisions.
• Develop centrally managed fleet level analytics in Power BI to compare performance and review operations, coordinating with the Data Analytics Platform.
• Create analytics to support performance reporting through Net Generation Reporting, including outage reporting and planning.
• Oversee data strategy and Data Analytics Platform access so engineering teams can use agentic and semantic tools to improve performance, reliability, maintenance planning, and long-term capital planning.
• Mentor others and help build a collaborative environment focused on innovation and technical rigor.
• May provide indirect supervision of project and System governance teams.

Required qualifications

• Bachelor's degree in Engineering, Data Science, Applied Mathematics, or Statistics.
• 7 years of progressive work experience in data science, analytics, machine learning engineering, with at least 2 years in the utility, energy, or related sector.
• Broad knowledge of analytics and IT/OT system solutions and a problem-solving mindset focused on actionable outcomes.
• Ability to explain technical findings to non-technical stakeholders and collaborate across operations, engineering, and regulatory teams.

Technologies you may work with

• Data sources and tools: PI Data, WorkMan, GADS, GPIF, PGS Data, Canary, Gridmax, Power BI, DAX, Power Query, Power Automate, Esri GIS
• Programming and integration: Python, SQL, JavaScript, HTML/CSS, APIs, CLI, Automation, ETL/ELT, data modeling, SQL Server, Snowflake, Azure, cloud data platforms
• Analytics and machine learning: machine learning, computer vision, object detection, image segmentation, anomaly detection, time-series analysis, regression, survival analysis, Bayesian methods, random forests, neural networks, gradient boosting, statistical process control, causal inference, hypothesis testing

Benefits

• Competitive Salary
• 401k Savings plan with company matching
• Pension plan
• Paid time off and paid holiday time
• Medical, Prescription Drug, and Dental coverage
• Tuition Assistance Program
• Employee Assistance Program
• Wellness Programs and on-site fitness centers
• Bonus Plan and more

Storm duty and working conditions

• Responding to storms is a condition of employment.
• Team members must participate in emergency/disaster response and recovery activities to maintain service to customers.
• Team members are required to work in their normal duties or other assigned activities.
• Compensation will follow company rules and procedures.
• Normal office environment; occasionally required to work in an industrial environment.
• Travel within the Tampa Electric Service Area.

Competencies

• Puts Safety First
• Be Curious & Adapt
• Create Value for Customers
• Be Accountable & Respectful
• Foster Strong Teams