Data Scientist

Caterpillar

Quick summary

Work type
On-site
Location
Chicago, ILPeoria, ILWestminster, COIrving, TX
Salary
$97,530–$158,480 / yr
Posted
3 days ago
Closes
Jul 10, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $128k
$85k most similar roles pay here $213k

This role pays less than 61% of similar roles. Most pay $126,800–$185,650 — the shaded band above. At the midpoint, this role pays about $128k versus about $156k 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 43 open roles on FindRole.

Listed pay typically runs $128,470–$208,770 across 42 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Scientist

As a Data Scientist on the CAT datasets team, you will work at an advanced level to identify and resolve data quality issues through sophisticated analytics. Your daily tasks include directing data gathering, mining, and processing for large volumes of data, creating robust data models, and implementing semantic data capabilities using NLP and machine learning techniques. You will define requirements for data analyses, present findings with data visualization tools like Power BI or Tableau, and optimize algorithms to enhance analysis accuracy. The role requires expertise in Python and SQL, proficiency in cloud platforms such as AWS or Azure, and a solid understanding of data engineering principles including ETL processes and pipelines. Strong business acumen and communication skills are essential for this position focused on driving informed decision-making within the company.

What you'll do

  • Direct data gathering, mining, and processing for large datasets.
  • Implement semantic data capabilities using NLP, text analysis, and ML.
  • Define requirements and scope for data analyses and present insights.
  • Optimize data models and algorithms to enhance analysis accuracy.
  • Use data visualization technologies to report business insights to management.

What we're looking for

  • Expertise in Python and SQL for advanced querying and data manipulation.
  • Strong experience in data visualization using tools like Power BI or Tableau.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data warehouses.
  • Solid understanding of data engineering principles including ETL processes and data modeling.
  • Proficient in machine learning techniques and statistical analysis for business insights.
  • Excellent communication skills for presenting complex data analyses to management.
  • Strong problem-solving abilities and business acumen.

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