Associate Data Scientist

Requisition ID:  85416 

 

NextEra Energy Resources is the world's largest producer of renewable energy from wind and solar, and a global leader in battery storage. We offer energy solutions that drive economic growth, protect the environment, support communities, and help customers meet their energy needs. Ready to make a lasting impact and create a cleaner future? Join our innovative, world-class team today!

 

Position Specific Description

Our Smart Grid Department is looking for an Associate Remote Sensing Data Scientist to join their team in Jupiter, FL.  This candidate will work on a team of Geospatial Analysts, Engineers and Data Scientists using aerial imagery and 3D lidar point clouds to perform analytics and automate workflows.  Analysis may be performed locally or in the cloud, but we often work with big data and are looking to develop highly automated processes for feature extraction from lidar and aerial imagery. This will require custom model development and workflows in support of our remote sensing and geospatial efforts.  Common software and programming skills include ArcGIS Pro, Python, R, SQL, GitHub, LAStools, Photogrammetry, STAC, and Terrasolid suite. 

 

The selected candidate will:
•    Work closely with lidar acquisition team to automate processes,
•    Work with data science team to develop machine learning models and automated workflows for imagery and 3D lidar point cloud analytics, 
•    Work on large-scale datasets, creating scalable, robust, and accurate remote sensing solutions.

 

We truly have the best team in the business.  Apply today to be a part of it!

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:  NextEra Energy Resources, LLC 
Relocation Provided:  Yes, if applicable

 

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. We are committed to a diverse and inclusive workplace.

 

NextEra Energy and 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 recruiting-coordinator.sharedmailbox@nexteraenergy.com, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1-844-694-4748. Please do not use this line to inquire about your application status.

 

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have acc