Java Programming, Python Programming, R Programming, R-Shiny, SQL, Tableau
Your Responsibilities
As a Data Scientist within the Enterprise Aftermarket Data & Analytics Organization, you will execute data science projects which drive aftermarket growth and an improved customer experience over the lifetime. Applied techniques are expected to include statistical analysis, predictive modeling, forecasting, data visualization, and machine learning. More specifically, you will follow the Aftermarket Analytics Delivery Process to:
• Collaborate with business and analytics stakeholders to investigate business needs, identify opportunities for analytics to provide value, and convert abstract concepts into data science solutions
• Query and manipulate complex datasets to prepare data for analysis
• Develop data products such as statistical analyses, dashboards, and models which deliver actionable value to stakeholders
• Lead code review, validation, and design review activities to ensure and demonstrate high-quality output
• Participate in strategic roadmap planning and assist in defining project proposals and scope
• Communicate results at multiple levels of technical detail to various stakeholders
What Skills You Need
What Makes You Stand Out
Education
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. We offer comprehensive relocation and reward packages to help you get started on your new career path. Click here to find out more about our Total Rewards Package.
John Deere is the brand name of Deere & Company, an American corporation that manufactures agricultural, construction, and forestry machinery, diesel engines, drivetrains used in heavy equipment, and lawn care equipment.
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