CAREER AREA:

Business Technologies, Digital and Data

JOB DESCRIPTION:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

JOB PURPOSE:  Caterpillar uses quantitative methods such as business simulations, data mining, 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.

JOB RELATED STATISTICS:    Varies  

    
JOB DUTIES:

Caterpillar uses quantitative techniques to solve problems. Typical problems include maximizing operating profits by reducing costs; optimizing supply chains and logistics; assurance of supply; forecasting procurement trends; analyzing supplier health; predicting quality related metrics.

The principal responsibility of the Data Scientist 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. Senior 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 also mentors and develops the capabilities and organizational knowledge of more junior data scientists and associates. 

The Data Scientist demonstrates thorough knowledge of statistical approaches, 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. 

BACKGROUND/EXPERIENCE:  

Typically requires a Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 2-3 years of professional experience utilizing quantitative analysis, a Master’s degree and 1-2 years of experience, or a PhD in one of the associated fields.  Incumbent will have exhibited the ability to work on increasingly more complex assignments and will have demonstrated teamwork, initiative, interpersonal skills, and the ability to communicate effectively.  Must have expertise in Python, SQL and industry standard statistics and data visualization packages. Experience in distributed computing like Spark, Cloud technologies like AWS, agile methodology, version control like Git are desired.