Job Description

Career Area Information Analytics 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. Caterpillar Inc. is more than big, heavy equipment and much more than yellow iron. Our products have evolved from simple mechanical workhorses to sophisticated, electronically controlled work-site solutions. This transformation along with our smart factories and our integrated dealer network has wealth of data ready to be harvested to open new markets, fine tune our processes or deliver differentiated customer solutions. Analytics Professionals are the data driven, business professionals providing solutions to all areas across the Caterpillar enterprise. Marketing & Branding Analytics uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve marketing challenges for internal and external Caterpillar customers. 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 Duties The key role of this second level analyst position is to move from learning and assisting others to learning to contribute independently. The Data Scientist I is expected to be familiar with the company\'s processes, products, and organization. Work is typically directed by a project or team lead who might review both methods and results. Decisions on routine, limited 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 consider alternative courses of actions, making timely decisions and developing communication skills. The job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models. Examples of expected analytical tasks include determining optimum marketing investments in each marketing channel. Output of an analytics program in a digital technology such as Tableau/Power BI. Individuals in this position might expect to have several assignments allowing them to gain experience on multiple projects. They will be expected to apply theory and concept in contributing to the solution in the assigned area. The Data Scientist I demonstrates an expanded breadth of knowledge and the ability to handle basic issues independently. The incumbent demonstrates very good communication skills; above average planning and organization, teamwork, and decision making skills; a strong concern for customers; and has basic knowledge of Caterpillar Inc., and its products and services. BACKGROUND/EXPERIENCE: Typically requires an accredited 4-year degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework and 2-4 years of experience, or a Master\'s degree in an associated field. Excellent analytical skills are essential. Successful candidates will have exhibited the ability to begin working independently and have demonstrated ability to apply theory and concept. Must have ability to communicate effectively with team members and others in the work group, as well as with customers. Must be comfortable working in MS Office, and industry standard statistics and data visualization packages such as SAS, Python and Power BI. Candidate to have exposure on handing data in cloud environment such as Snowflakes, Google Cloud Platform etc. Caterpillar is an Equal Opportunity Employer (EEO). Not ready to apply Submit your information to our Talent Network here .

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