Lead Data Scientist: Service Events Insights & Impact

Caterpillar Financial Services Corporation; Peoria (IL); On-site; USD 128,000 - 209,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Tuition Reimbursement

Career Development

Job summary

Caterpillar Inc. invites applicants for Lead Data Scientist – Service Events & Insights in Peoria, IL. You will design and drive analytics across Service Events data, turning large-scale information into actionable business insights.

The role demands ML expertise, strong programming skills, and the ability to lead end-to-end data science initiatives while collaborating with stakeholders across the organization.

Qualifications

• 4-year college degree in Business, Engineering, Data Science, Mathematics, or related field.
• Deep expertise in statistical analysis and machine learning techniques.
• Strong programming proficiency (Python, R, SQL) and data processing experience.
• Advanced knowledge of data modeling, databases, and large-scale datasets.
• Experience leading end-to-end machine learning initiatives and communicating results.

Responsibilities

• Lead design and execution of advanced analytics and data science initiatives.
• Direct data acquisition, transformation, and modeling across high-volume datasets.
• Define problem statements and success criteria with stakeholders.
• Develop, deploy, and optimize ML models for service outcomes and forecasting.
• Apply NLP and predictive modeling to extract value from service data.
• Mentor teams and promote best practices in data science.
• Communicate insights via visualization and storytelling for leadership.

Skills

Analytical thinking

Machine Learning

Programming languages

Business statistics

SQL

Data modeling

Education

Bachelor's degree

Tools

Python

R

SQL

Spark

Job description

Caterpillar Inc. invites applicants for Lead Data Scientist – Service Events & Insights in Peoria, IL. You will design and drive analytics across Service Events data, turning large-scale information into actionable business insights.

The role demands ML expertise, strong programming skills, and the ability to lead end-to-end data science initiatives while collaborating with stakeholders across the organization.