Senior Data Scientist

Caterpillar

Closes in 7 days

Quick summary

Work type: On-site
Location: Irving, TX
Salary: $112,710–$183,140 / yr
Posted: 1 day ago
Closes: Jun 13, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k

This role $148k

$89k most similar roles pay here $222k

This role pays less than 60% of similar roles. Most pay $126,800–$185,527 — the shaded band above. At the midpoint, this role pays about $148k 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 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 · Senior Data Scientist

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As a Senior Data Scientist in Corporate Aftermarket Finance Services, you will lead advanced analytics and technical initiatives for Parts Sales to End Users (STU) reporting and forecasting. Your role involves designing and implementing data models within Snowflake, developing scalable data pipelines using Python and AWS services like Glue and Lambda, and creating insightful Power BI dashboards. You will also enhance forecasting models with machine learning techniques and collaborate closely with cross-functional teams to ensure data accuracy and reliability. This position requires extensive knowledge in statistical methods, machine learning algorithms, and cloud platforms such as Snowflake and Power BI, alongside strong communication skills for translating complex insights into actionable business recommendations.

Skills

Snowflake Power BI Python SQL AWS Cloud platforms Alteryx R Agile methodologies Azure DevOps

What you'll do

Own end-to-end data architecture and analytics solutions within Snowflake.
Develop scalable data pipelines integrating data from multiple sources.
Design and maintain Power BI dashboards for business stakeholders.
Support forecasting models using advanced analytics and machine learning.
Lead data validation processes to ensure accuracy and reliability of reports.
Collaborate with teams to define business objectives and analytical solutions.

What we're looking for

Extensive knowledge of statistical methods and machine learning techniques for complex business problems.
Hands-on experience with Snowflake, Power BI, and AWS cloud platforms.
Ability to design and manage end-to-end data pipelines and reporting solutions.
Proven track record in delivering scalable data architecture and analytics solutions.
Strong communication skills to translate technical insights into actionable business recommendations.
Experience in data validation processes and ensuring data accuracy and quality.
Demonstrated ability to work effectively with senior stakeholders and cross-functional teams.

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