Data Scientist

Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.

Analytics-based research supporting project teams
Using programming languages such as Python, R, SAS, SQL, and/or Dataiku and apply machine learning models to research solutions to business problems
Statistical modeling and analysis of Caterpillar and dealer parts demand & inventory
Improvement of existing and development of new inventory optimization techniques
Execution and analysis of inventory management simulations
Creation of PowerBI dashboards for reporting and exploratory analysis
Ad-hoc data analysis, data processing, and data visualization
Developing/refining large-scale solutions to fit complex situations in multiple unique environments
Building familiarity with Inventory Management system functionality and parts management practices
Effective communication of complex concepts and solutions to stakeholders & internal customers

Bachelor’s degree or higher in Analytics, Data Science, Mathematics, Statistics, Computer Science, or Industrial Engineering with quantitative and technically challenging coursework
Knowledge of basic statistical approaches and/or data management techniques
Experience with analytical and statistical modeling and analysis tools like Python, R, SAS, and/or SQL
Experience with data visualization and analytical software like Power BI or Tableau
Demonstrated experience working in MS Office Suite of programs
Experience utilizing quantitative analysis
Experience in machine learning models and/or deep learning (AI) using tools like Python, R, and/or Dataiku
Demonstrates the ability to communicate effectively verbally with digital media and concepts using data visualization
Experience in automation tools such as Power Automate or Excel VBA
Enthusiasm for big data processing, research, analytics, and problem solving
Previous inventory management background and knowledge
Demonstrates teamwork, initiative, and interpersonal skills
Highly proficient written and verbal communication skills