Associate Data Scientist

Requisition ID:  91392 

Florida Power & Light Company is the largest electric utility in the U.S., providing reliable energy to nearly 12 million Floridians. With one of the nation’s most fuel-efficient, cost-effective power generation fleets and industry-leading reliability, we’re redefining what’s possible in energy. Want to be part of something powerful? Join our outstanding team and help shape the future of energy.

 

Position Specific Description

We are seeking a highly motivated and detail-oriented Associate Data Scientist to join our data science team. The ideal candidate will have a strong foundation in data analysis, machine learning, and cloud computing, particularly with Amazon Web Services (AWS). This role is perfect for someone with a graduate degree in Computer Science, Engineering, or a related field who is eager to apply their skills to solve real-world business problems.

 

Key Responsibilities:

• Collaborate with cross-functional teams to identify data-driven opportunities and develop predictive models.
• Clean, process, and analyze large datasets using statistical and machine learning techniques.
• Deploy and manage data science solutions on AWS cloud infrastructure.
• Build and maintain data pipelines and workflows using AWS services such as S3, Lambda, SageMaker, Glue, and Redshift.
• Communicate findings and insights clearly to technical and non-technical stakeholders.
• Stay current with industry trends, tools, and best practices in data science and cloud computing.

 

The ideal candidate would have the following: 

• Proficiency in Python or R for data analysis and modeling.
• Hands-on experience with AWS services relevant to data science and machine learning.
• Solid understanding of statistics, machine learning algorithms, and data visualization techniques.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Familiarity with containerization tools (e.g., Docker, Kubernetes).
• Knowledge of CI/CD practices and version control (e.g., Git).
• Prior experience in a business or industry setting applying data science solutions.

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 (i.e., “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 big data and distributed computing platforms
• Develops software and contributes to product development
• Performs other job-related duties as assigned

Required Qualifications

• Bachelor's Degree
• Experience: 0+ years

Preferred Qualifications

• Master's Degree

 

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

 

Employee Group:  Exempt
Employee Type:  Full Time
Job Category:  Science, Research, and Technology
Organization:  Florida Power & Light Company 
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 reasonab