Lead Data Scientist

Caterpillar

Quick summary

Work type: On-site
Location: Mossville, IL · Irving, TX
Salary: $128,470–$208,770 / yr
Posted: 2 days ago
Closes: Jun 18, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k

This role $169k

$97k most similar roles pay here $233k

This role pays more than 61% of similar roles. Most pay $129,200–$195,110 — the shaded band above. At the midpoint, this role pays about $169k versus about $162k 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 36 open roles on FindRole.

Listed pay typically runs $128,470–$208,770 across 36 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Lead Data Scientist

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Cat Technology is seeking a Lead Data Scientist to join its data and analytics team at the senior level. This role involves connecting diverse data sources for accurate reporting, directing large-scale data gathering and processing, and implementing advanced analytical techniques such as NLP and machine learning. The incumbent will define requirements for data analyses, present findings through data visualization tools like PowerBI, and optimize algorithms to enhance analysis effectiveness. Key skills include proficiency in Python, Snowflake, and statistical methods, along with strong communication abilities to convey complex insights clearly. This position supports Cat Technology’s mission of delivering integrated solutions that improve customer operations globally, emphasizing autonomy, automation, and data-driven decision-making across various segments.

Skills

Python Snowflake PowerBI Machine Learning SQL Data Visualization NLP Analytics CI/CD

What you'll do

Connect diverse data sources for accurate reporting of metrics.
Direct data gathering, mining, and processing in large volumes.
Implement semantic data capabilities using NLP and machine learning.
Define requirements and scope for data analyses; present insights.
Research and optimize data models and algorithms for accuracy.

What we're looking for

Extensive experience in data gathering, mining, and processing large volumes of data.
Proficiency in machine learning principles, technologies, and algorithms for system development.
Strong analytical thinking and problem-solving skills with a focus on root cause analysis.
Expertise in programming languages such as Python and query/database access tools like Snowflake.
Ability to create and present business insights through advanced data visualization techniques using PowerBI.
Excellent communication skills to convey complex technical concepts clearly to non-technical stakeholders.

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