Machine Intelligence Analyst- P&HVAC

About the role

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 alerting to drive predictive maintenance, fuel savings, and operational optimization.

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.
• Develop and refine AI/ML models to identify anomalies in equipment performance (e.g., vibration spikes, temperature fluctuations) to predict failures before they occur.
• Analyze machine utilization and idle time to recommend better asset allocation and reduce unnecessary operational costs.
• Use AI to flag risky operator behaviors—such as harsh braking or overloading—and automate reporting for regulatory standards like OSHA.
• Monitor consumption patterns and identify inefficient operating habits to drive fuel savings, often targeting reductions of up to 15%.
• Build and maintain dashboards that provide real-time alerts for critical issues like engine faults or unauthorized equipment movement (geo-fencing).

Requirements

• Bachelor’s degree in data science, Engineering, Computer Science, or a related field; advanced degrees are often preferred for senior analyst roles.
• Prior experience in the heavy civil construction or mining industries is highly desirable to understand specific machine behaviors and job site logic.
• Strong problem-solving mindset and the ability to communicate technical findings to non-technical stakeholders, such as fleet managers and maintenance crews.

Skills

• Data Integration: Experience with industrial communication protocols such as CAN bus and Modbus to collect data from machine control systems.
• AI/ML Frameworks: Proficiency in Python or R, along with libraries like TensorFlow, PyTorch, or Scikit-learn for 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, crouch and/or reach and lift up to 25 pounds or more, as required by the job.
• Some roles may require driving for long periods of time, loading and unloading heavy equipment, 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.

Pay

Base Pay Range: $64,790.40 - $89,086.80. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.

Benefits

• 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.

• 12-25 vacation days depending on years of service
• 5 sick days
• 6 holidays
• 2 half day holidays
• 2 floating holidays
• 1 inclusion day
• 1 volunteer day