Sr Data Scientist

Brooksource; Tampa (FL); Hybrid; USD 115,000 - 125,000; Full time

Benefits offered by this job

401(k) matching

Medical, dental, and vision plans

Health Savings Account

Dependent Care FSA

Paid time off

Job summary

Brooksource in Tampa, FL is seeking a Senior Data Scientist to drive advanced analytics for the Energy Supply portfolio. Hybrid role in a collaborative environment focusing on ML, time series, and reliability analytics to improve asset performance.

You will mentor teammates, partner with Asset Management and IT, design data pipelines, and develop dashboards (Power BI) to enable data-driven decisions across the generating fleet.

Qualifications

• 7+ years in data science, analytics, or ML engineering with 2+ years in energy/utilities.
• Proficient in Python/SQL and data engineering concepts.
• Experience with asset management and reliability analytics.
• Strong communication for non-technical stakeholders.

Responsibilities

• Lead analytics for generation performance using ML and time-series methods.
• Develop analytics to support safety, reliability, and capital improvements.
• Design data pipelines from PI/Canary/WorkMan/GPIF/PGS Data sources.
• Build fleet dashboards (Power BI) and cross-asset reviews.
• Support performance reporting with advanced analytics.
• Guide data strategy and enable AI tools for planning.
• Mentor team members and foster innovation.
• Coordinate with stakeholders and external partners for projects.
• Design model validation frameworks for auditable outputs.
• Potentially supervise governance teams.

Skills

Python

SQL

JavaScript

HTML/CSS

APIs

CLI

Automation

Data modeling

Time series analysis

Survival analysis

Education

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

Master's or PhD in data science, statistics, engineering, or information systems

Tools

Python

SQL

Power BI

DAX

Power Query

Power Automate

Esri GIS

Snowflake

Azure

SQL Server

Job description

Senior Data Scientist

Tampa, FL

Hybrid Role

$115,000 – $125,000 per year

ABOUT THE ROLE

The Senior Data Scientist – Energy Supply plays a critical role in advancing the safety, reliability, resilience, and modernization of our generating assets. Based in Tampa, FL, this hybrid position focuses on developing and applying advanced analytics, statistics, machine learning, and domain-specific knowledge to transform complex operational data (including PI Data, WorkMan, GADS, GPIF, PGS Data) into actionable insights. You will coordinate closely with Asset Management and cross-functional teams to identify performance risks, develop predictive methods to mitigate equipment and system failures, and create a vision for comprehensive generation analytics. This role also involves guiding data strategy, supporting asset management and reliability engineering initiatives, and mentoring others while fostering a collaborative and innovative environment.

WHAT YOU'LL DO

• Lead the development, implementation, and operation of analytics to monitor generation performance, including statistical and machine learning models for anomaly detection, time series analysis, failure prediction, survival analysis, event detection, and asset/system degradation modeling.
• Develop analytics using asset management and formal reliability engineering to support safety, compliance, reliability, performance, affordability, and resilience goals for the generating fleet, including prioritization and impact measurement of maintenance and capital improvements.
• Collaborate with Technology (IT/OT) teams to design and implement data pipelines and architectures for large-scale data acquisition, storage, and processing from multiple sources (e.g., PI, Canary, WorkMan, GADS, GPIF, PGS Gas Data, Gridmax).
• Develop and maintain fleet-level analytics and dashboards (e.g., Power BI) to compare performance and review operations across generating assets, coordinating with the Data Analytics Platform for data integration.
• Support performance reporting, including Net Generation Reporting, outage reporting, and planning, through advanced analytics and data-driven insights.
• Guide and oversee data strategy and analytics platform access, enabling engineering teams to leverage agentic and semantic AI tools for improved performance, reliability, maintenance planning, and long-term capital planning.
• Mentor and support team members, fostering a collaborative, innovative, and technically rigorous environment.
• Coordinate with internal stakeholders (Asset Management, Generating Assets, Regulatory, OPMECC, IT) and external partners (consultants, contractors, industry associations, vendors) to ensure effective project execution and technology planning.
• Design and lead model validation frameworks to ensure robust, interpretable, and auditable analytics outputs for operational decision-making.
• May indirectly supervise project and system governance teams as needed.

WHAT YOU BRING

• Bachelor’s degree in Engineering, Data Science, Applied Mathematics, or Statistics (required); advanced degree (Master’s or PhD) in data science, statistics, engineering, or information systems preferred.
• 7+ years of progressive experience in data science, analytics, or machine learning engineering, with at least 2 years in the utility, energy, or related sector.
• Expertise in advanced analytics, statistics, and machine learning (e.g., anomaly detection, time series analysis, failure mode prediction, survival analysis, causal inference, statistical process control).
• Experience with asset management, reliability engineering, and performance analytics for generating assets or similar environments.
• Proficiency in programming and development tools such as Python, SQL, JavaScript, HTML/CSS, APIs, CLI, and automation.
• Strong knowledge of data engineering (ETL/ELT, data modeling, large dataset processing, API and enterprise system integration, SQL Server, Snowflake, Azure, and cloud data platforms).
• Experience with analytics and machine learning techniques, including computer vision, object detection, image segmentation, and time-series analysis.
• Expertise in visualization and geospatial tools (Power BI, DAX, Power Query, Power Automate, Esri GIS, geospatial analysis, interactive mapping, drone/aerial imagery analytics, executive dashboards, and real-time operational visualization).
• Ability to develop and validate statistical and machine learning models for operational decision-making, including digital twins and grid simulations.
• Excellent communication skills, with the ability to explain technical findings to non-technical stakeholders and collaborate across operations, engineering, and regulatory teams.
• Experience mentoring others and fostering a collaborative, innovative environment.
• Preferred certifications: Certified Analytics Professional, Python for Data Science, reliability-related certifications.

WHAT'S IN IT FOR YOU

• 401(k) matching plan
• Medical, dental, and vision plans
• Health Savings Account and Dependent Care FSA
• Supplemental coverage options
• Paid time off, sick time, and 6 paid company holidays
• Employee Assistance Program (EAP) with virtual counseling, financial and legal services, and life coaching
• Process to find your best fit and regular meetings to ensure quality in your engagement
• Flexible hiring models and opportunities for professional growth

ABOUT US

At Brooksource, relationships are the foundation of everything we do. Since 2000, we’ve built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement. As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. We offer flexible hiring models, including contract, contract-to-hire, and direct placement to meet your evolving business needs. As a certified partner of leading platforms, including Salesforce, AWS, Microsoft, and Google Cloud, we deliver scalable, end-to-end technology solutions with a growing national footprint.

EEO STATEMENT

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

PAY DISCLAIMER

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.