Lead Data Scientist (Service Events & Insights)
Core
Lead a team of data scientists to develop advanced analytics and machine learning models that transform large-scale Service Events data into actionable business insights for Caterpillar's global dealer network.
Role type
Senior IC Lead Data Scientist (Service Events & Insights)
Builds
Scalable analytics solutions, predictive models, and data-driven decision frameworks for aftermarket parts distribution and global services.
Domain
Heavy equipment manufacturing (construction/mining) + Service Operations & Logistics
Deliverable
production ML models | dashboards & analysis
Required skills
Machine learning, statistical analysis, Python, SQL, data modeling, natural language processing, predictive modeling, data visualization, root cause analysis
Preferred skills
Leadership in data science initiatives, mentoring technical teams, translating complex findings for non-technical stakeholders, experience with large-scale distributed datasets, domain knowledge of dealer work orders and service hierarchies
Technologies
Python, R, SQL, data processing frameworks, database systems
Responsibilities
Lead design and execution of advanced analytics initiatives; direct data acquisition, transformation, and modeling; define problem statements and success criteria with stakeholders; develop and optimize ML models; apply NLP and text analytics; communicate insights via visualization; guide best practices across cross-functional teams
Seniority
Senior, hands-on IC with leadership responsibilities