Data Scientist I

Caterpillar

Confirmed live today High trust

Closes in 7 days

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $89,210–$144,960 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Closes: Sep 27, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k

This role $117k

$75k most similar roles pay here $224k

This role pays less than 91% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $117k versus about $159k 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 40 open roles on FindRole.

Listed pay typically runs $131,789–$190,176 across 39 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Scientist I

Role Posting Log in to save

Data Scientist I, Cat Digital joins the Equipment Usage Analytics team to develop next-generation analytics for a massive fleet of connected assets. The role involves gathering, mining, and processing high-volume data to create models that predict applications, downtime, and efficiency. Key responsibilities include implementing semantic data capabilities through Natural Language Processing, text analysis, and machine learning techniques, while also conducting research on algorithm optimization and presenting business insights via visualization tools. Candidates must possess a technical degree and proficiency in Python using libraries like NumPy, SciPy, and pandas. Required skills include advanced statistical methods such as regression and hypothesis testing, experience with cloud technologies like AWS or Azure, and version control via GitHub. The work focuses on solving complex challenges related to equipment usage data and telematics for industrial assets.

What does a Data Scientist earn?

Median $162000 from 285 postings across 61 companies.

See salary data

Skills

Python NumPy SciPy pandas Machine Learning Natural Language Processing Data Mining Data Visualization AWS Azure Google Cloud GitHub Statistical Process Control ANOVA Hypothesis Testing

What you'll do

Perform data gathering, mining, and processing for high-volume datasets.
Create appropriate data models to support analytics for connected assets.
Implement semantic data capabilities using Natural Language Processing and machine learning.
Define requirements and scope for various data analysis projects.
Present business insights to management using data visualization technologies.
Conduct research on algorithm optimization to improve the accuracy of data analyses.
Use Python programming to solve complex business challenges.
Extract and format data from various management systems for further use.

What we're looking for

A Bachelor's, Master's, or PhD degree in a technical field such as Data Science, Statistics, Engineering, or Computer Science (preferred).
Working knowledge of statistical tools and processes to describe business results and support decision-making.
Working knowledge of machine learning principles, technologies, and algorithms to develop and deliver related systems.
Working knowledge of Python programming to solve business challenges using tools like NumPy, SciPy, and pandas (preferred).
Working knowledge of data management systems for searching, extracting, and formatting data.
Experience with advanced data analysis and statistical methods such as regression and hypothesis testing (typically 1+ years).
Working knowledge of cloud technologies including AWS, Azure, or Google Cloud (preferred).
Advanced experience with version control systems like GitHub (preferred).

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