Data Scientist / Technical Analyst

Jobtailor; Illinois; On-site; USD 70,000 - 95,000; Full time

Job summary

Jobtailor in the United States is seeking a data scientist focused on ML/AI for fleet and equipment optimization. You will develop time-series and sensor-based models, predict failure modes, and estimate remaining useful life to improve reliability.

You will evaluate new technologies, build Generative AI solutions, and collaborate with engineers to deliver analytics for telematics and fleet management. A strong foundation in data analysis and coding is required.

Qualifications

• Bachelor’s degree or higher in data science, computer engineering, electrical engineering or related degree; selected candidates must complete their degree by their start date
• 0-2 years of relevant experience related to this field; internships or academic projects are a plus
• Minimum cumulative GPA requirement 3.0/4.0 (no rounding)
• Knowledge of statistical tools, processes, and practices for business decision-making
• Accuracy and attention to detail
• Analytical thinking and root-cause analysis
• Knowledge of machine learning principles, technologies, and algorithms
• Programming language knowledge and ability to write and modify code
• Knowledge of data management systems and query/database access tools
• Requirements analysis skills
• Sponsorship now or in the future is NOT available for this position
• Successful completion of a drug screen required

Responsibilities

• Develop machine learning, deep learning, statistical, and physics-based models using time-series sensor data, machine fault codes, inspections, and analysis records
• Identify health anomalies, predict equipment failure modes, estimate remaining useful life, and build equipment risk models
• Evaluate emerging technologies, product services, and technology platforms
• Develop and implement Generative AI solutions, including model training, evaluation, selection, prompt engineering, agents, assistants, and chatbots
• Perform reliability monitoring, observability, incident response, automation development, reliability analysis, operational readiness reviews, root-cause investigations, performance optimization, and continuous improvement
• Plan and execute global telematics device programs, including testing and analysis of cellular, satellite, Wi-Fi, Bluetooth, and other technologies
• Provide digital technical support for Caterpillar digital applications and products
• Partner with experienced engineers and data scientists to build AI and analytics solutions for fleet management, equipment failure prediction, and operational optimization

Skills

Machine Learning

Deep Learning

Statistical Analysis

Predictive Modeling

Generative AI

Programming

Data Management

Reliability Analysis

Performance Optimization

Root-Cause Investigation

Education

Bachelor’s degree in data science / related field

GPA 3.0/4.0

Tools

Telematics Devices

Cellular Technology

Satellite Technology

Wi-Fi

Bluetooth

Job description

• Develop machine learning, deep learning, statistical, and physics-based models using time-series sensor data, machine fault codes, inspections, and analysis records
• Identify health anomalies, predict equipment failure modes, estimate remaining useful life, and build equipment risk models
• Evaluate emerging technologies, product services, and technology platforms
• Develop and implement Generative AI solutions, including model training, evaluation, selection, prompt engineering, agents, assistants, and chatbots
• Perform reliability monitoring, observability, incident response, automation development, reliability analysis, operational readiness reviews, root-cause investigations, performance optimization, and continuous improvement
• Plan and execute global telematics device programs, including testing and analysis of cellular, satellite, Wi-Fi, Bluetooth, and other technologies
• Provide digital technical support for Caterpillar digital applications and products
• Partner with experienced engineers and data scientists to build AI and analytics solutions for fleet management, equipment failure prediction, and operational optimization

Requirements

• Bachelor’s degree or higher in data science, computer engineering, electrical engineering or related degree; selected candidates must complete their degree by their start date
• 0-2 years of relevant experience related to this field; internships or academic projects are a plus
• Minimum cumulative GPA requirement 3.0/4.0 (no rounding)
• Knowledge of statistical tools, processes, and practices for business decision-making
• Accuracy and attention to detail
• Analytical thinking and root-cause analysis
• Knowledge of machine learning principles, technologies, and algorithms
• Programming language knowledge and ability to write and modify code
• Knowledge of data management systems and query/database access tools
• Requirements analysis skills
• Sponsorship now or in the future is NOT available for this position
• Successful completion of a drug screen required

Core Competencies

Demonstrates expertise in developing machine learning and deep learning models, with a strong foundation in statistical analysis and data management. Proficient in programming and capable of implementing Generative AI solutions for operational optimization and predictive maintenance.

Highest-signal resume keywords

• Machine Learning Principles
• Statistical Tools and Practices
• Programming Language Knowledge
• Data Management Systems
• Root-Cause Analysis

Hard Skills

• Machine Learning
• Deep Learning
• Statistical Analysis
• Predictive Modeling
• Generative AI
• Programming
• Data Management
• Reliability Analysis
• Performance Optimization
• Root-Cause Investigation

Soft Skills

• Analytical Thinking
• Attention to Detail

Industry Keywords

• Data Science
• Computer Engineering
• Electrical Engineering
• Operational Readiness
• Incident Response

Tools & Technologies

• Telematics Devices
• Cellular Technology
• Satellite Technology
• Wi-Fi
• Bluetooth