Associate Data Scientist (Miami) in Miami, FL at honor foundations

Date Posted: 1/17/2025

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Miami, FL
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    1/17/2025

Job Description

Requisition ID:  84147 

Florida Power & Light Company is America’s largest electric company, providing clean, affordable, and reliable electricity to more than 12 million people in Florida. We operate one of the cleanest power generation fleets in the U.S. and our reliability is among the best in the nation. Our goal is to achieve Real Zero carbon emissions from our operations by 2045 by expanding our solar capacity, increasing battery storage and bringing new renewable energy opportunities to Florida, while improving customer affordability and reliability. Are you interested in becoming a game-changer in the energy industry?  Join our world-class team today! 

Position Specific Description

We are seeking a capable individual to help increase company revenue by identifying metering conditions causing revenue loss.  The Revenue Protection department uses advanced analytic skills coupled with smart meter and other data available to identify these conditions.  

 

Employees in this role include improving business processes, creating meaningful process indicators, conducting analysis to support the business case cycle, and performing other ad-hoc analysis as assigned. Employees will also be asked to analyze smart meter data, premise usage, and other characteristics to help develop algorithms to identify revenue loss conditions, including the documentation and operationalization of such algorithms. 

 

Preferred Qualifications: 

•    Advanced knowledge of R / Python programming languages to wrangle data from different sources into meaningful data features that can be used in revenue loss detection algorithms.

•    Advanced knowledge of machine learning techniques with ability to train, test, and deploy models into a production environment

•    Obtain data and present information using data visualization techniques (SQL, Excel, MS-Access, R GGPLOT)

•    Experience with Amazon Web Services (AWS)

•    Understanding of electricity concepts and electric metering

•    Conduct quantitative and qualitative research to support business case projects



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. We are committed to a diverse and inclusive workplace.

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 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 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.

#LI-FB1 

Nearest Major Market: Miami

Apply now »

Apply now

Find similar jobs:

Copyright © 2024, NextEra Energy, Inc. All rights reserved

var _apply = _apply || []; var _applybase = 'https://olivia.paradox.ai/'; _apply.push(['setKey', 'nehzsoomshootzpfyrae']); _apply.push(['start']); (function() { var apply = document.createElement('script'); apply.type = 'text/javascript'; apply.async = true; apply.src = 'https://dokumfe7mps0i.cloudfront.net/static/site/js/widget-client.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(apply, s); })(); //< j2w.init({ 'cookiepolicy' : 1, 'useSSL' : true, 'isUsingSSL' : true, 'isResponsive' : true, 'categoryId' : 0, 'siteTypeId' : 1, 'ssoCompanyId' : 'NEE', 'ssoUrl' : 'https://career8.successfactors.com', 'passwordRegEx' : '^(?=.{6,20}$)(?!.*(.)\\1{3})(?=.*([\\d]|[^\\w\\d\\s]))(?=.*[A-Za-z])(?!.*[\\u007F-\\uFFFF\\s])', 'emailRegEx' : '^(?![+])(?=([a-zA-Z0-9\\\'.+!_-])+[@]([a-zA-Z0-9]|[a-zA-Z0-9][a-zA-Z0-9.-]*[a-zA-Z0-9])[.]([a-zA-Z]){1,63}$)(?!.*[\\u007F-\\uFFFF\\s,])(?!.*[.]{2})', 'hasATSUserID' : false, 'useCASWorkflow' : true, 'brand' : '', 'dpcsStateValid' : false }); j2w.TC.init({ 'seekConfig' : { 'url' : 'https\x3A\x2F\x2Fwww.seek.com.au\x2Fapi\x2Fiam\x2Foauth2\x2Fauthorize', 'id' : 'successfactors12', 'advertiserid' : '' } }); $.ajaxSetup({ cache : false, headers : { 'X-CSRF-Token' : '924c52cc-b509-4a03-a8e4-44204f837a18' } }); //< j2w.Apply.init({ jobID : 1243043300, locale : 'en_US', relocateApplyURL : '', subscribeAtApply : true, useOnPageBusinessCard : true, applyWithLinkedIn2Config : {'enabled':true,'companyId':'86x0eymjxbhgol','integrationContext':'urn:li:organization:269397','internalId':'84147-en_US','email':''} }); //< j2w.init({ 'cookiepolicy' : 1, 'useSSL' : true, 'isUsingSSL' : true, 'isResponsive' : true, 'categoryId' : 0, 'siteTypeId' : 1, 'ssoCompanyId' : 'NEE', 'ssoUrl' : 'https://career8.successfactors.com', 'passwordRegEx' : '^(?=.{6,20}$)(?!.*(.)\\1{3})(?=.*([\\d]|[^\\w\\d\\s]))(?=.*[A-Za-z])(?!.*[\\u007F-\\uFFFF\\s])', 'emailRegEx' : '^(?![+])(?=([a-zA-Z0-9\\\'.+!_-])+[@]([a-zA-Z0-9]|[a-zA-Z0-9][a-zA-Z0-9.-]*[a-zA-Z0-9])[.]([a-zA-Z]){1,63}$)(?!.*[\\u007F-\\uFFFF\\s,])(?!.*[.]{2})', 'hasATSUserID' : false, 'useCASWorkflow' : true, 'brand' : '', 'dpcsStateValid' : false }); j2w.TC.init({ 'seekConfig' : { 'url' : 'https\x3A\x2F\x2Fwww.seek.com.au\x2Fapi\x2Fiam\x2Foauth2\x2Fauthorize', 'id' : 'successfactors12', 'advertiserid' : '' } }); $.ajaxSetup({ cache : false, headers : { 'X-CSRF-Token' : '924c52cc-b509-4a03-a8e4-44204f837a18' } }); //< j2w.SAB.init({ profileData : [ {type : 'linkedin',shorttype : 'li',label : 'Start apply with LinkedIn',helptext : 'Use your LinkedIn profile to join our talent community, receive job alerts, and start the apply process.',moretext : '
  • Nothing is posted on your LinkedIn account.
  • We do not login to your LinkedIn account.
  • We do not save login credentials to your LinkedIn account.
  • You will be joining our Talent Community using your social profile.
  • Please ensure that pop-up blockers are disabled in order to proceed.
' }, {type : 'manual',shorttype : '',label : 'Apply Now',helptext : 'Join our talent community, receive job alerts, and start the apply process.',moretext : '' },], jobID : '1243043300', locale : 'en_US', autoOpen : { open : false } }); // { jobEl.textContent = window?.jsStr?.tcjobresultscreatejobalertsdetailstext || ''; }); //')); $('.frequency-error').removeClass('hidden'); } else { alert(result.join('\n')); } } }); });

//