Data Scientist / Technical Analyst

Caterpillar

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, ILPeoria, ILMossville, ILIrving, TX
Salary
$89,210–$144,960 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Nov 13, 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 the Cat Digital team, you will build AI and analytics solutions to help customers manage fleets, predict equipment failures, and optimize operations. You will work with machine learning, Generative AI, IoT data, and advanced analytics while collaborating with engineers and data scientists. Your daily responsibilities include developing models for asset management using deep learning and physics-based analytics on time-series sensor data, performing reliability monitoring, and executing prompt engineering to create agents or chatbots. You will also evaluate emerging technologies and ensure long-term connectivity through telematics device programs. The role requires proficiency in Python, SQL, Cloud Platforms, Data Visualization Tools, and Statistical Modeling. You must possess strong skills in requirements analysis, analytical thinking, and the ability to use query and database access tools to manage complex data systems.

What you'll do

  • Develop machine learning and statistical models to predict equipment failures and identify health anomalies in sensor data.
  • Build asset management solutions using time-series data, fault codes, and inspection records.
  • Implement Generative AI solutions including model training, evaluation, selection, and prompt engineering.
  • Create AI agents, assistants, and chatbots to improve customer and dealer experiences.
  • Perform reliability monitoring, incident response, root cause investigations, and performance optimization.
  • Research and test cellular, satellite, Wi-Fi, and Bluetooth technologies for global telematics programs.
  • Provide technical support for essential Caterpillar digital applications and products.
  • Evaluate emerging technologies and new product platforms to enhance digital capabilities.

What we're looking for

  • Knowledge of statistical tools and processes to describe business results in measurable scales.
  • Ability to use programming languages to write and modify code for technical solutions.
  • Proficiency in machine learning principles, technologies, and algorithms to develop and deliver systems.
  • Ability to use query and database access tools to search, extract, and format data.
  • Knowledge of requirements analysis techniques to elicit and record business functionality.
  • Experience with Python, SQL, Generative AI, Cloud Platforms, and Data Visualization Tools.
  • Bachelor’s degree or higher in data science, computer engineering, electrical engineering, or a related field (preferred).
  • 0-2 years of relevant experience including internships, academic projects, or research (preferred).

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