Machine Intelligence Analyst- P&HVAC

Sunbelt Rentals, Inc.

United States

Remote

USD 65,000 - 89,000

Full time

14 days+

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Benefits offered by this job

Health plans

401(k) Match

Volunteer time off

Disability insurance

Life and travel insurance

Tuition reimbursement

Employee Assistance Program (EAP)

Length of Service Awards

Job summary

Sunbelt Rentals, Inc. is seeking a Machine Intelligence Analyst to turn telematics data from pumps, vehicles and equipment into actionable insights. You will build AI/ML models to improve the performance, safety and efficiency of our heavy equipment fleet.

The role leverages sensor data, CAN bus, Modbus, GPS, and dashboards to drive predictive maintenance, fuel savings and operational optimization, with reporting and alerting for proactive management.

Qualifications

Bachelor’s degree in data science, Engineering, Computer Science or related field.
Domain knowledge in heavy civil construction or mining is desirable.
Strong problem-solving and the ability to communicate findings to non-technical stakeholders.
Experience developing AI/ML models for predictive maintenance.
Ability to analyze machine utilization and optimize assets and costs.
Experience with dashboard reporting and alerting for real-time insights.

Responsibilities

Predictive Maintenance & Diagnostics: analyze sensor data to predict equipment failure and reduce downtime.
Telematics & Data Engineering: extract and analyze data from CAN bus, Modbus, GPS in real time.
Performance Optimization: develop AI/ML models to improve fuel efficiency and workflows.
Automated Reporting & Alerting: build dashboards and proactive alerts for operators/managers.
Safety & Compliance Monitoring: use ML to flag risky operator behaviors and ensure standards.

Skills

Data analysis

Communication

Problem solving

ML/AI modeling

Attention to detail

Education

Bachelor’s degree in data science, Engineering, Computer Science

Advanced degrees preferred

Tools

Python

TensorFlow

PyTorch

Scikit-learn

SQL

Power BI

Tableau

Hadoop

Apache Spark

CAN bus

Modbus

GPS

Job description

Join Our Team!

Sunbelt Rentals strives to be the customer’s first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition.

We pride ourselves on investing in our workforce and offer competitive benefits, as well as extensive on-the-job training for all eligible employees.

As a highly successful national company, we are constantly looking for talented individuals to support our growth. If you are interested in pursuing a rewardingcareer, we invite you to review our opportunities!

Job Description Summary

Position Objective

A Machine Intelligence Analyst focuses on utilizing advanced data analysis, artificial intelligence (AI), and machine learning (ML) to improve the performance, safety, and efficiency of heavy equipment. This role bridges the gap between raw telematics data—collected from sensors and CAN bus/Modbus systems—and actionable business intelligence by automating reporting and alertingto drive predictive maintenance, fuel savings, and operational optimization.

Position Responsibilities

Predictive Maintenance & Diagnostics:Analyze sensor data (vibration, temperature, hydraulic pressure) to predict equipment failure, reducing downtime and lowering maintenance costs.
Telematics & Data Engineering:Extract, clean, and analyze raw data from CAN bus, Modbus, and GPS systems to monitor fleet health and location in real time.
Performance Optimization:Develop AI/ML models to improve fuel efficiency and optimize workflows (e.g., automated scheduling).
Automated Alerting & Reporting:Create automated dashboards and proactive alerts for operators/managers regarding abnormal machine behavior.
Operational Safety:Utilize ML to identify unsafe operator behavior (e.g., sudden braking, excessive idling) and ensure compliance with regulatory standards.

Requirements

Education & Experience

Bachelor’s degree in data science, Engineering, Computer Science, or a related field; advanced degrees are often preferred for senior analyst roles.
Domain Knowledge : Prior experience in the heavy civil construction or mining industries is highly desirable to understand specific machine behaviors and job site logic.
Soft Skills : Strong problem-solving mindset and the ability to communicate technical findings to non-technical stakeholders, such as fleet managers and maintenance crews.
Predictive Maintenance Modeling: Develop and refine AI/ML models to identify anomalies in equipment performance (e.g., vibration spikes, temperature fluctuations) to predict failures before they occur.
Fleet & Operational Optimization: Analyze machine utilization and idle time to recommend better asset allocation and reduce unnecessary operational costs.
Safety & Compliance Monitoring: Use AI to flag risky operator behaviors—such as harsh braking or overloading—and automate reporting for regulatory standards like OSHA.
Fuel Efficiency Analysis: Monitor consumption patterns and identify inefficient operating habits to drive fuel savings, often targeting reductions of up to 15%.
Automated Reporting & Alerting: Build and maintain dashboards that provide real-time alerts for critical issues like engine faults or unauthorized equipment movement (geo-fencing).

Essential Technical Skills

Data Integration: Experience with industrial communication protocols such asCAN busandModbusto collect data from machine control systems.
AI/ML Frameworks: Proficiency inPythonorR, along with libraries likeTensorFlow,PyTorch, orScikit-learnfor building predictive models.
Telematics Expertise: Strong understanding of GPS technology, onboard diagnostics (OBD), and Telematics Control Units (TCU) for remote monitoring.
Data Management: Skills in SQL, data cleaning, and big data tools (e.g., Hadoop, Apache Spark) to handle large volumes of sensor data.
Visualization: Ability to create complex queries and interactive dashboards using tools like Power BI, Tableau, or specialized construction software.

Physical Demands

Must be able to bend, squat, crouchand/orreach andlift upto 25 pounds or more, as required by the job. Some Sunbelt jobs may require driving for long periods of time, loading and unloadingheavyequipment, performing work in extreme weather conditions including rain, wind or excessive temperatures and/or night and weekend work. All duties must be performed according to Sunbelt’s safety policies and guidelines. Reasonable accommodations may be made to comply with ADA/ADAAA.

The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental or similar duties which may be required from day to day.

Sunbelt Rentals is an Equal Opportunity Employer — Minority/Female/Disabled/Veteran and any other protected ground

Base Pay Range: $64,790.40 - 89,086.80

Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:

Health, Dental and Vision plans
401(k) Match
Volunteer time off
Short-term and long-term disability
Accident, Life and Travel insurance, as well as flexible spending
Tuition Reimbursement Options
Employee Assistance Program (EAP)
Length of Service Awards

You will become eligible for benefits on the first of the month following 30 days from your start date. Sunbelt offers team members the following paid time off from work, subject to Sunbelt’s policies (unless specified in a collective bargaining agreement):