Data Scientist II, Data Algorithms & Optimization

Caterpillar

Closes in 5 days

Quick summary

Work type: On-site
Location: Chicago, ILPeoria, IL
Salary: $97,530–$158,480 / yr
Posted: 3 days ago
Closes: Jul 7, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $160k

This role $128k

$85k most similar roles pay here $214k

This role pays less than 68% of similar roles. Most pay $126,800–$192,325 — the shaded band above. At the midpoint, this role pays about $128k versus about $160k 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 38 open roles on FindRole.

Listed pay typically runs $128,470–$190,176 across 37 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Scientist II, Data Algorithms & Optimization

Role Posting Log in to save

Join the Platform Analytics and AI team at Cat Digital as a senior data scientist responsible for developing advanced analytics and machine learning solutions that drive business decision-making and product innovation. You will design and maintain analytical models using Python, analyze complex datasets, collaborate with cross-functional teams to define requirements, and ensure data quality through validation and improvement initiatives. This role requires extensive experience in statistical methods, machine learning techniques like clustering and logistic regression, and working knowledge of cloud technologies and version control systems. The ideal candidate has a strong background in applied statistics or related fields, hands-on experience with Python for business challenges, and the ability to communicate insights effectively to both technical and non-technical stakeholders within a fast-paced Agile environment at Caterpillar’s Chicago or Peoria offices.

Skills

Python Machine Learning AWS Azure Google Cloud GitHub Agile CI/CD Statistical Analysis Regression Hypothesis Testing ANOVA SVM Neural Networks Clustering Random Forests Generative AI Version Control Terraform Kubernetes

What you'll do

Design and develop advanced analytical models using machine learning and statistical methods.
Analyze complex datasets to identify trends and opportunities for business improvement.
Validate data sources and recommend improvements to ensure high-quality data.
Translate business questions into actionable data science solutions for cross-functional teams.
Communicate model results and insights clearly to both technical and non-technical stakeholders.

What we're looking for

Extensive experience in Python programming for business challenges.
Deep knowledge and application of machine learning techniques like clustering, logistic regression, SVMs.
Advanced skills in data analysis using statistical methods such as regression and hypothesis testing.
Proven ability to work with cloud technologies (AWS, Azure, Google Cloud).
Experience in version control systems like GitHub and Agile environments.
Strong analytical thinking and communication skills for technical and non-technical stakeholders.

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