JOB DUTIES: As a Data Scientist you will primarily focus on the data quality evaluation of a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data.  This role will analyze output of data quality rules and evaluation of their impact, as well as root cause analysis of data quality problems.  This role will also use analytics and visualization methods to solve problems for Caterpillar internal customers. Top candidates will have prior experience in a business intelligence or quality role, be proficient in SQL, have development experience in Python and dashboard design.

• As a Data Scientist you’ll use quantitative techniques to solve problems.

• Use a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues.

• Design, develop, and maintain Telemetry data quality dashboards and reports

• Provide analytics support to Connectivity Division Projects

• Consolidate output of data quality problems into a workable CPI project.

• Become familiar with the company’s processes, products, and organization, as well as its customers, competitors, and stakeholders.

• Refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders.

• Work independently without close supervision on medium to high complexity projects

• Work on 2-3 projects concurrently

• Demonstrate 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.