Data Scientist (West Palm Beach, FL, US, 33407)

Florida Power & Light; West Palm Beach (FL); On-site; USD 110,000 - 165,000; Full time

Job summary

Florida Power & Light (FPLES) seeks a data scientist to lead end-to-end data science efforts within the FPLO organization. The role focuses on developing ML models, optimization methods, and Finance PowerBI reporting to analyze revenues, expenses and KPIs, enabling FPLO product lines to actively manage operations.

The ideal candidate will compile financial data from multiple sources for comprehensive reports, work with business stakeholders, and contribute to self-service analytics and data

Qualifications

• Bachelor’s degree in a highly quantitative field (e.g., Data Science, Statistics, Computer Science, Econometrics, Mathematics, Financial Engineering)
• Strong proficiency in SQL and Python (or R) for data extraction, manipulation, and analysis
• Master’s Degree or Ph.D. in a quantitative discipline
• Certified Power BI Data Analyst

Responsibilities

• Develops machine learning, optimization and other modeling solutions
• Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries and quantitative analyses
• Works with a variety of datasets, including timeseries data and big data requiring analysis on distributed computing platforms
• Writes software in R, Python or similar languages and contributes code to product development teams
• Performs other job-related duties as assigned
• Creates and maintains financial reports on the FPLO Finance PowerBI dashboard
• Supports product teams to create and execute channel and product growth strategy through the creation and ongoing maintenance of financial reports and analytics
• Enables others to perform self-service analytics
• Develops an understanding of and positively impacts the financial performance of product lines

Skills

SQL

Python

Power BI

Education

Bachelor's Degree

Master's Degree

Doctoral Degree

Tools

Power BI

Job description

Requisition ID: 96934

Do you want to create innovative solutions that deliver real value to customers? At FPL Energy Services (FPLES), you'll join a dynamic team driving smart, reliable, and affordable offerings—from LED lighting to home protection, HVAC, fiber, and more. Be part of a business that thrives on innovation, customer focus, and a culture of excellence. Join us and help shape the future of energy services.

Position Specific Description

This position is responsible for leading end-to-end data science efforts within the FPL Offerings (FPLO) organization. The Data Scientist will support various FPLO product lines by developing algorithms, modeling techniques, and optimization methods for analyzing and reporting financial information. The role involves designing and implementing advanced statistical and machine learning models to analyze revenues, expenses, and other key performance indicators, allowing the business lines to actively manage operations. The successful candidate will work closely with business stakeholders to identify and develop financial requirements.
The successful candidate must be proficient in compiling and aggregating financial data from various sources to develop comprehensive financial reports. This role is also responsible for the creation and maintenance of financial reports on the FPLES Finance PowerBI dashboard. This role requires substantial experience with financial concepts, machine learning, optimization, statistics, and tools designed for data extraction, manipulation and analysis.

Job Duties & Responsibilities

• Develops machine learning, optimization, and other modeling solutions.
• Creates and maintains numerous financial reports on the FPLO Finance PowerBI dashboard.
• Supports product teams to create and execute channel and product growth strategy through the creation and ongoing maintenance of financial reports and analytics.
• Works with big data and distributed computing platforms.
• Prepares comprehensive documented observations, analyses, and interpretations of results, including technical reports, summaries, and quantitative analyses.
• Delivers actionable insights by working with available data and applying domain expertise.
• Provides meaningful business value through easy-to-comprehend data visualizations.
• Enables others to perform self-service analytics.
• Develops an understanding of and positively impacts the financial performance of product lines.
• Performs other job-related duties as assigned.

The Ideal candidate will have the following experience:

• Bachelor’s Degree in a highly quantitative field (e.g., Data Science, Statistics, Computer Science, Econometrics, Mathematics, Financial Engineering, or a related discipline)
• 4+ years of experience in data science, quantitative analysis, or a related role
• Strong proficiency in SQL and Python (or R) for data extraction, manipulation, and analysis
• Master’s Degree or Ph.D. in a quantitative discipline
• Certified Power BI Data Analyst

Job Overview

This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. "Big Data").

Job Duties & Responsibilities

• Develops machine learning, optimization and other modeling solutions
• Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
• Works with a variety of datasets, including timeseries data and "big data" requiring analysis on distributed computing platforms
• Writes software in R, Python or similar languages and contributes code to product development teams
• Performs other job-related duties as assigned

Required Qualifications

• Bachelor’s Degree
• Experience: 2+ years

Preferred Qualifications

• Master’s Degree
• Doctoral Degree

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members.

Employee Group: Exempt
Employee Type: Full Time
Job Category: Science, Research, and Technology
Organization: FPL Energy Services, Inc
Relocation Provided: No

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.

NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to [e-mail], providing your name, telephone number and the best time for us to reach you.

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, and disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information.

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