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Job Location: Chennai
Job Detail:
Career Area:
Information Analytics
Job Description:
JOB PURPOSE:
JOB RELATED STATISTICS:
Volume: Participates on 4-6 projects per year
Financial impact: typically, less than $500,000
Complexity: Moderate
Scope: spans across 1-2 functional areas within BU
Geographic scope: global
JOB DUTIES:
The Senior Data Scientist need to gather business related data from different ERP systems or public data systems accurately, make analysis based on internal customers request and develop customized reports.
The principal responsibility of Senior Data Scientist is to move from being an individual contributor on analytic teams to acting as the technical lead on such teams. He or she will participate on cross-functional project teams, provide overall guidance to the technical direction of the project, and mentor Jr Data Scientists on the technical approaches being used in order to solve a problem.
The Senior Data Scientist will:
- Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems
- Coach and mentor other Data Scientists in the creation, validation, and application of statistical models, as well as in implementing digital solutions;
- Participate on 3-4 projects concurrently
- Demonstrate thorough knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and its relevant external influences (competitors, laws and regulations, market conditions, etc.) to meet or exceed customer expectations.
- Demonstrate strong initiative to research and apply new methods to exceed customer expectations.
- Have a strong focus on continual learning in the Analytics field
Significant challenges of this position are working with people; enhancing the team’s creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. The Senior Data Scientist acts as overall technical lead for the team in establishing a sound analytic approach for solving the problem at hand. The incumbent will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team.
The Senior Data Scientist reports to an Information and Analysis Supervisor and bears primary responsibility for solving the business problem presented through applied analytics.
The Senior Data Scientist demonstrates thorough statistical and/or digital technology knowledge and the ability to solve low to medium complexity problems. He or she demonstrates very good communication skills, being able to explain conclusions to customers with limited knowledge and experience with quantitative analytical methods. As the first Senior technical analytic position, they are not expected to have previous experience leading teams, but they should exhibit strong communications, a penchant for innovation, above average initiative, people development, and interpersonal skills. The incumbent should also have a comprehensive knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and a general understanding of Caterpillar’s external customers, competitors, and market influencers.
BACKGROUND/EXPERIENCE:
Typically requires a Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 3-5 years of professional experience utilizing quantitative analysis is preferred, a Master’s degree and 1-3 years of experience, or a PhD and 1-3 years of experience in relevant experience. Must be comfortable working in MS Office, and industry standard statistics and data visualization packages. Must demonstrate strong leadership, initiative, interpersonal skills, project management skills, and the ability to communicate effectively. Be familiar with Caterpillar Procurement related systems/applications and ERPs.
Caterpillar is an Equal Opportunity Employer (EEO).
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