Skip to content

Data Scientist
Company | Caterpillar Inc. |
---|
Location | Peoria, IL, USA |
---|
Salary | $95640 – $155400 |
---|
Type | Full-Time |
---|
Degrees | |
---|
Experience Level | Junior, Mid Level |
---|
Requirements
- Highly skilled in Python and SQL
- Knowledge of statistical tools, processes, and practices
- Understanding the necessity and value of accuracy
- Knowledge of techniques and tools that promote effective analysis
- Knowledge of principles, technologies, and algorithms of machine learning
- Knowledge of data management systems
- Knowledge of tools, methods, and techniques of requirement analysis
- Highly skilled in research techniques, automation, data science, AI to drive business KPI results
- Excellent oral and written communication skills
Responsibilities
- Owner of Sunrise machine learning model that predicts major component rebuild forecasts cycles
- Works in collaboration with CAT Digital team to improve, incorporate improved features, and integrate Sunrise model with the Lens Equipment model
- Runs the monthly process to create Sunrise results and publishes the reporting dashboard
- Supports running the monthly data processing and gathering for the Proactive Integrated Supply Management (PRISM) demand planning program
- Supports team automation of data collection processes and improvement project initiatives
- Supports team with creating and maintaining key data tables that are consumed within the PRISM program
- Supports and maintains processing key demand planning KPIs: PRISM (PLESN) Demand Planning Conformance
- Role supports many data driven analytics, and analysis that directly supports internal RI teams, dealers and customers while improving demand planning processes for critical component rebuilds
- Supports multiple dashboards reporting demand planning trends, and key KPIs utilized to support ‘Right Part Right Time’ strategy
- Role supports quarterly data driven analytics that provides rebuild forecast outlook input for RI Aftermarket S&OP process
Preferred Qualifications
- Bachelor’s or Master’s degree in Data Science, Business Analytics, Engineering, Statistics, Mathematics, Computer Science, Business, Economics, or a Related Degree Program with quantitative and technically challenging coursework
- Experience in forecasting, demand planning, aftermarket parts sales, parts operations, parts inventory management, supply chain
- Expertise working with Cat dealers and/or customers
- Cat business acumen (Product line, Parts line, Parts distribution)