Job Description

There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what were all about at John Deere. And its why were investing in our people and our technology like never before in our 175-year history. Here the worlds brightest minds are tackling the worlds biggest challenges. If you believe one person can make the world a better place, well put you to work. RIGHT NOW.

Primary Location: United States (US) - North Carolina - Cary
Function: Data Science & Analytics
Title: Part-Time Student-Data Analytics-Cary NC - 70953

The Part-Time Student Program is primarily designed to augment the Companys regular full-time staff and is for students who work in parallel to their school schedule.

Note: With COVID-19, the job can be done remotely for the present time subject to the managers direction and timeframe. Longer term, the position will be located at the physical facility.

Your Responsibilities

Product Delivery Analytics generates descriptive and predictive analytics, data visualizations, and data driven alerts in support of developing and improving John Deere products. As a member of a team, you will work to understand business processes, wrangle data and generate analytics insights to support critical EPDP (Enterprise Product Delivery Process) activities.

* Understand the EPDP process, the data and existing descriptive analytics reports
* Work with end users and consumers of our data to understand their behaviors and needs
* Work in multiple tools and programming languages to acquire data (Alteryx, R, Python, SQL)
* Operate in a variety of front-end tools to visualize the data (Tableau, Power BI)
* Perform statistical studies to examine correlation and causation within data sets (Excel, Alteryx, R, Python)
* Work with embedded data scientists to develop and validate prescriptive machine learning models

What Skills You Need

* Ideally you will be pursuing a degree in Computer Science, Management Information System, or Business Administration or any certificates in regard to data analytics; others may apply
* Must be registered as a full-time student at a local accredited university
* Graduation date of December 2022 or later
* Cumulative GPA of 2.8 or above
* Must be able to commute to the work location on a daily basis
* Must be avaialble to work 16-20 hours/week during the academic year
* Must be avaialble to work 35-40 hours/week during the summer semester
* Willingness to learn new tools and languages
* Experience using MS Excel or similar spreadsheet tools (Google Sheets, etc.)
* Base knowledge of statistics (Mean, Median, Standard Deviation, etc.)

What Makes You Stand Out

* Understanding of databases, data joins, and graphing/charting.
* Experience with data visualization tools a plus, but not required (Tableau, Power BI, R-Shiny)
* Experience with data acquisition and transformation a plus, but not required (Alteryx, R, Python, SQL)

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.

The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines. An Equal Opportunity Employer, John Deere requires a diversity of people, perspectives and ideas to address the complex challenges of its global business. John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity, status as a protected veteran, or status as a qualified individual with disability.