Caterpillar Hiring For Data Scientist at Chennai, Tamil Nadu Full Time

Job Description:
JOB PURPOSE: Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Data Scientist role contributes to this mission by leveraging his or her quantitative analysis, data management, modeling, and/or data visualization skills as an individual contributor to support project teams tasked with solving business problems.

JOB DUTIES:
Caterpillar uses data and quantitative techniques to solve problems. Typical problems include maximizing OPACC through improvements in Quality, specifically supporting parts or products that are undergoing change. Identify and develop simulation/optimization capabilities to model financial improvements made from deploying Advance Product Quality Planning (APQP). In addition, analytics experts also provide assistance to high-profile enterprise-wide projects such as Defect Free or other product development improvement initiatives.

The key role of this higher-level analyst position is to move from learning and assisting others to learning to contribute independently. The Data Scientist 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.

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 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 “should-cost” curves in order to identify cost outliers to be targeted by material cost reduction teams or creating a visualization of the output of a “should-cost” curve in a digital technology such as PowerBI.

The Data Scientist role 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 clients or customers; and has basic knowledge of Caterpillar Inc., and its products and services.

BACKGROUND/EXPERIENCE: Typically requires an accredited 4-year degree, preferably in engineering, statistics, economics, mathematics, or a similar field with quantitative coursework and 1-2 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 clients or customers. Must be comfortable working in MS Office, Dax and SQL querying, and industry standard statistics and data visualization Packages.

Must have extensive domain knowledge of Caterpillar’s current and historical use of APQP, FMEA, PCN, and PPAP applications. Experience developing and deploying PowerBI dashboards, along with seeking client feedback for continuous improvement enhancements is highly desired.

Relocation is available for this position.

Caterpillar is an Equal Opportunity Employer (EEO).

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