Lead Data Scientist

Caterpillar

Closes in 2 days

Quick summary

Work type
On-site
Location
Irving, TX · Nashville, TN · East Peoria, IL
Salary
$128,470–$208,770 / yr
Posted
9 days ago
Closes
Jun 8, 2026 (soon)

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.

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View all roles at Caterpillar

At a glance

TL;DR · Lead Data Scientist

Caterpillar IT’s Cybersecurity GRC – Technology & Analytics team is hiring a Lead Data Scientist to serve as a technical expert and drive the development of advanced analytics and GenAI initiatives. This senior-level role involves collaborating with stakeholders, enhancing analytical approaches, and leading a team in solving complex business problems through data-driven solutions. The ideal candidate will leverage Python, SQL, and cloud technologies like AWS or Snowflake to conduct data discovery, prepare datasets for machine learning models, and optimize algorithms. They must also possess extensive experience in statistical methods, machine learning techniques, and agile project management practices while demonstrating strong communication skills to present findings effectively to diverse audiences. This role requires a Master’s degree in relevant fields and typically 8+ years of industry experience, with a focus on continuous learning and innovation within the analytics domain.

What you'll do

  • Conduct data discovery, preparation, and processing for business intelligence and ML/AI models.
  • Lead the definition of requirements and scope for data analyses and present insights using data visualization technologies.
  • Research and implement semantic data capabilities through advanced analytics and machine learning techniques.
  • Develop statistical models and digital solutions, ensuring their validation and training before implementation.
  • Plan technical deliverables and communicate them effectively to stakeholders in a comprehensible manner.

What we're looking for

  • Extensive experience (typically 8 years+) with advanced data analysis and statistical methods.
  • Master’s degree in Applied Statistics, Data Science, or related field.
  • Proficiency in Python programming for business challenges using libraries like NumPy, pandas.
  • Advanced knowledge of machine learning techniques such as clustering, logistic regression, SVMs.
  • Strong communication skills to explain technical work to stakeholders effectively.
  • Experience with cloud technologies (AWS, Azure, Google Cloud) and Snowflake.
  • Continuous learning and initiative in the analytics field.

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