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Location: Chicago, IL, United States
Date Posted: Jun 10, 2020
Caterpillar uses quantitative methods such as business simulations, data mining, machine learning and advanced statistical techniques to solve problems. The Data Scientist I contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems.
Caterpillar uses quantitative techniques to solve problems. Typical problems include maximizing profit through improvements in Inventory Costs, Material Costs, NPI costs, etc., determining the principal drivers of health care costs; recommending the optimal supplier for a part; identifying sales, rental, and service opportunities for Caterpillar dealers; and developing simulation/optimization capabilities to model a new facility or product feature. In addition, analytics experts provide assistance to high-profile enterprise-wide projects such as the Engineered Value Chain.
The principal responsibility of the Data Scientist I is to be an independent contributor to multi-person analytic teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues. Data Analysts are expected to be familiar with the company’s processes, products, and organization, as well as its customers, competitors, and stakeholders. Work is typically directed by a direct supervisor, project or team lead through a review of results. Decisions on routine, medium risk issues that may affect the project team, suppliers or internal customers may be made by this position. Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders. The Data Scientist I also mentors and develops the capabilities and organizational knowledge of more junior data scientists and associates.
The Data Scientist I demonstrates thorough knowledge of analytical approaches including statistics, machine learning and optimization, data management techniques, and/or related digital technologies, and the ability to handle complex issues. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they should also exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Inc., its products and services; its internal systems, processes, and procedures; and the external environment in which it competes.
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