Plantation, FL

Data Jobs in Plantation, FL

2 jobs found

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1mo ago

Data Scientist

NextEra Energy, Inc. Plantation, FL

Plantation, FL

1mo ago Closed

Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Oct 31, 2026).

Job Description

NextEra Energy, Inc. is seeking a self-motivated Data Scientist to develop advanced disaggregation models and derive actionable grid insights from smart meter data. This onsite role in Plantation, FL supports the AMI 2.0 strategic initiative through analytics and machine learning that contribute to grid modernization and business growth goals.

Key Responsibilities

Design and build disaggregation algorithms to infer individual appliance usage patterns from aggregated smart meter data.
Create machine learning models for AC anomaly detection and HVAC performance optimization.
Develop predictive models for grid event analysis and meter response optimization.
Build enhanced load forecasting approaches using high-resolution AMI data.
Analyze baseline performance of existing meters to identify opportunities for improved grid sensing capabilities.
Support enterprise cyber risk assessment with data-driven security insights.
Collaborate on AMI enhancements and distributed intelligence testing.
Improve ADMS integration using advanced data analytics.
Extract actionable insights from disaggregated AMI data for regulated programs and customer engagement.
Develop analytics frameworks for program sales optimization.
Create real-time grid event detection and response models.
Build customer segmentation models based on energy usage patterns.
Partner with cross-functional teams to validate business cases through data analysis.
Support revenue generation initiatives by identifying high-value customer opportunities.
Develop performance metrics and KPIs to measure Smart Grid 2.0 program success.
Provide data-driven recommendations for strategic technology investments.
Design and execute experiments for proof-of-concept development at the Meter Technology Center (MTC) and participate in iterative testing using a “fail fast, learn fast” methodology.
Support vendor evaluation and technology selection through analytical assessment.
Develop machine learning, optimization, and other modeling solutions.
Prepare comprehensive documented observations, analyses, and interpretations, including technical reports, summaries, protocols, and quantitative analyses.
Work with multiple dataset types, including timeseries data and “big data” requiring analysis on distributed computing platforms.
Write software in R, Python, or similar languages and contribute code to product development teams.
Perform other job-related duties as assigned.

Required Qualifications

3+ years of experience in machine learning and advanced analytics.
Proficiency in Python, R, and SQL for data analysis and model development.
Experience with time series analysis and signal processing techniques.
Knowledge of utility operations and smart grid technologies is preferred.
Bachelor’s Degree.
Experience: 2+ years.

Preferred Qualifications

Master’s in Data Science, Statistics, Electrical Engineering, Computer Science, or related field.
Experience with energy disaggregation algorithms and non-intrusive load monitoring (NILM).
Background in utility data analytics or grid modernization projects.
Familiarity with AMI systems, SCADA, and ADMS platforms.
Experience with distributed computing frameworks (Spark, Hadoop).
Understanding of cybersecurity principles in utility environments.
Doctoral Degree.

Technical Skills & Tools

Advanced statistical modeling and machine learning techniques
Big data analytics and cloud computing platforms
Data visualization tools: Tableau, Power BI, or similar
IoT data streams and real-time analytics
Utility industry standards and protocols
Technologies include: Python, R, SQL, time series analysis, signal processing techniques, machine learning, AC anomaly detection, HVAC performance optimization, IoT data streams, real-time analytics, Spark, Hadoop, AMI systems, SCADA, ADMS, Meter Technology Center (MTC), distributed computing frameworks, Big Data, and cybersecurity principles

Role Overview

The position is responsible for developing algorithms, modeling techniques, and optimization methods that support multiple aspects of NextEra and FPL business. The work uses machine learning, optimization, statistics, and applied mathematics, combined with software engineering capabilities with an emphasis on distributed computing and data storage infrastructure, including Big Data.

Location

Plantation, FL, US (onsite)

Nearest Markets

Fort Lauderdale
Miami

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3mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Plantation, FL 🇺🇸 Remote

Plantation, FL

3mo ago Closed

$50 - $100/hr Full time Senior Ai Trainer Ai Training

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

DataAnnotation is building a team dedicated to advancing AI systems that reason with numbers. The Senior Data Scientist - AI Trainer role is remote and flexible, focused on assessing AI-generated quantitative work and shaping next-generation models for quantitative reasoning across forecasting, analysis, and data-driven insights.

Key details

Location: Plantation, FL with remote work option
Salary: USD 50 - 100 per hour
Experience: 2+ years in a quantitative role or research environment

Responsibilities

Assess AI-produced quantitative outputs across statistics, predictive modeling, scientific reasoning, and data-driven insights for technical accuracy and real-world relevance.
Design and solve quantitative challenges used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Provide feedback that directly informs the next generation of AI models built for quantitative reasoning.

Requirements

2+ years of hands-on experience in a quantitative role or research environment in fields such as data science, statistics, economics, finance, physics, biology, epidemiology, or operations research.
Some coding experience with the ability to write and review analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluent English with strong writing skills.
Bachelor's degree in a quantitative field is preferred; master's or PhD is a plus.
Relevant credentials (e.g., Kaggle rankings, AWS/GCP ML certifications) are advantageous.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, or New Zealand.
Flexible schedule to choose projects and timing.
Competitive pay: hourly rates up to 60 USD on standard projects, with opportunities for higher-paying engagements based on performance.
Impact: contribute to shaping AI systems designed to reason about data and analytics.

Note

Payment is processed via PayPal; we will never request money from you.
This role is available to candidates located in the US, Canada, the UK, Ireland, Australia, and New Zealand.

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Data Jobs in Plantation, FL

Data Scientist

Senior Data Scientist - AI Trainer

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