Data Scientist II

Caterpillar

Closes in 6 days

Quick summary

Work type: On-site
Location: Peoria, Illinois
Salary: $97,530–$158,480 / yr
Posted: 1 day ago
Closes: Jun 12, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $156k

This role $128k

$83k most similar roles pay here $235k

This role pays less than 71% of similar roles. Most pay $126,800–$184,900 — 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 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 · Data Scientist II

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As a Senior Data Analyst joining the Technology, Digital and Data team, you will transform complex business questions into actionable technical requirements for flexible data products. Your day-to-day responsibilities include identifying gaps in existing processes and recommending improvements through machine learning models and AI tools to enhance decision-making speed and accuracy. You will develop engaging reports and dashboards using Microsoft PowerBI or other visualization techniques like Python. The role requires proficiency in SQL, Snowflake, and cloud data services, along with strong skills in Python for automation and deployment of production-level code. Additionally, you must possess excellent communication abilities to collaborate effectively with senior leaders and stakeholders while ensuring the accuracy and precision of your work. This position is ideal for someone with professional experience in data analytics or data science who can create visuals and model data in Power BI and collect business data from various sources.

Skills

SQL Python Snowflake PowerBI Machine Learning CI/CD AWS Git Docker Kubernetes Terraform PostgreSQL Scikit-learn Pandas NumPy Jupyter Notebook Data Visualization REST APIs

What you'll do

Transform business questions into technical requirements for data products.
Investigate and recommend changes to improve business processes and data assets.
Develop machine learning models to enhance decision-making speed and accuracy.
Create engaging reports and dashboards using Microsoft PowerBI or other tools.
Deploy and maintain production-level code for data analytics and automation.

What we're looking for

Professional experience in data analytics or data science roles.
Expertise in developing and deploying machine learning models.
Proficiency in Python and SQL for data analysis and automation.
Intermediate to expert knowledge in Microsoft PowerBI or similar tools.
Strong communication skills to collaborate with business partners effectively.
Ability to assess business processes and recommend improvements based on data insights.
Experience in transforming business questions into technical requirements.

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