Data Scientist / Technical Analyst

Caterpillar

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Chicago, ILMossville, ILPeoria, ILIrving, TX
Salary
$89,210–$144,960 / yr
Posted
4 days ago
Freshness
Confirmed live 2 days ago
Closes
Nov 14, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $153k
This role $117k
$77k most similar roles pay here $207k

This role pays less than 89% of similar roles. Most pay $126,800–$179,125 — the shaded band above. At the midpoint, this role pays about $117k versus about $153k for comparable roles.

Based on 240 similar postings.

Employer

About Caterpillar

Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing

Caterpillar currently has 62 open roles on FindRole.

Listed pay typically runs $131,789–$192,710 across 61 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Scientist / Technical Analyst

As a Data Scientist / Technical Analyst within Cat Digital, you will join a global team to build AI and analytics solutions that help customers manage fleets, predict equipment failures, and optimize operations. You will develop models using machine learning, deep learning, and statistics-based or physics-based analytics on time-series sensor data and fault codes to identify health anomalies and estimate remaining useful life. Your daily work involves utilizing Generative AI for model training and prompt engineering, performing reliability monitoring, and ensuring long-term connectivity through telematics device programs. You will utilize a technical toolkit including Python, SQL, Cloud Platforms, Data Visualization Tools, and IoT data. The role addresses critical industrial challenges by providing predictive maintenance insights and digital product support to improve the reliability of heavy equipment and fleet management systems for global customers.

What you'll do

  • Develop machine learning models to predict equipment failure and estimate remaining useful life using time-series sensor data.
  • Utilize Generative AI for model training, evaluation, selection, and prompt engineering to create agents and chatbots.
  • Perform reliability monitoring, incident response, and root cause investigations to ensure system performance optimization.
  • Execute strategic planning and testing for global telematics programs across cellular, satellite, Wi-Fi, and Bluetooth technologies.
  • Provide technical support for essential Caterpillar digital applications and products.
  • Analyze large datasets using Python and SQL to identify health anomalies and build equipment risk models.
  • Evaluate emerging technologies and new product platforms to enhance customer asset management solutions.

What we're looking for

  • Bachelor's degree or higher in data science, computer engineering, electrical engineering, or a related field (preferred).
  • Minimum cumulative GPA of 3.0/4.0 (no rounding) (preferred).
  • 0-2 years of relevant experience in the field, including internships or academic projects (preferred).
  • Experience through personal projects, research, hackathons, student organizations, or coursework is highly valued (preferred).
  • Knowledge of machine learning principles, technologies, and algorithms to develop and deliver related systems.
  • Proficiency in programming languages and using tools to write and modify code.
  • Ability to use statistical tools and processes to describe business results and assist in decision-making.
  • Skills in query and database access tools for searching, extracting, and formatting data.

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