Data Scientist I, Lens Customer Analytics

Caterpillar

Confirmed live today High trust
Closes in 5 days

Quick summary

Work type
On-site
Location
Peoria, IL
Salary
$89,210–$144,960 / yr
Posted
4 days ago
Freshness
Confirmed live today
Closes
Nov 1, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $117k
$73k $240k
below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $127,662–$214,500 — the blue band above. At the midpoint, this role pays about $117k versus about $171k 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 131 open roles on FindRole.

Listed pay typically runs $128,470–$192,710 across 125 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Scientist I, Lens Customer Analytics

The Data Scientist I, Lens Customer Analytics joins the Customer Analytics and Applied AI team within Cat Digital. This role involves performing data gathering, mining, and processing on massive datasets to support data-driven business decisions. You will build data models, implement semantic data capabilities using Natural Language Processing and machine learning, and conduct research on algorithm optimization. Key responsibilities include defining requirements, performing requirement analysis, and reporting business insights through data visualization technologies. The position requires proficiency in Python, including libraries like NumPy, SciPy, and pandas, alongside experience with machine learning techniques such as Clustering, Random Forests, and Neural Networks. You will utilize tools like GitHub Copilot, Langchain, and AWS or Azure to solve problems related to identifying real-world customer behaviors and unmet needs within the heavy equipment industry.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Perform data gathering, mining, and processing for high-volume datasets.
  • Create appropriate data models to support data-driven business decisions.
  • Implement semantic data capabilities using Natural Language Processing and machine learning.
  • Define requirements and scope for data analyses to identify business insights.
  • Report findings to management using data visualization technologies.
  • Conduct research on data model optimization and algorithms to improve analysis accuracy.

What we're looking for

  • Working knowledge of statistical tools and processes to describe business results and assist in making business decisions.
  • Basic knowledge of machine learning principles, technologies, and algorithms to develop and deliver related systems.
  • Basic knowledge of Python programming to solve business challenges and use various tools and platforms.
  • Working knowledge of data management systems to search, extract, and format data for further use.
  • Working knowledge of requirement analysis tools and methods to elicit and record business functionality.
  • Working knowledge of developing with the help of AI Agents and GitHub Copilot.
  • Masters or PhD degree in a technical field with 2+ years of experience (preferred).
  • Extensive experience with Python, advanced statistical methods, machine learning, and AI tools like Langchain or Bedrock (preferred).

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