There are over 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 we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

Primary Location: United States (US) - Iowa  - Urbandale  
Function: Data Science & Analytics
Title: Part-Time Student-Data Science & Analytics-Remote - 105006 
Onsite/Remote:Remote Position

Note: Relocation assistance is not provided.

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

Your Responsibilities

As a Part-Time Student - Data Science and Analytics for John Deere you will:

• Use data mining techniques to analyze high resolution machine and agronomic data in the development and testing of production-ready predictive models.  
• Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes.  
• Develop and deliver insights and recommendations from precision agriculture data for product stakeholders, producing both standard and ad hoc reports.
• Ensure that data is stored efficiently and can support the required analytics, performing analyses to address data quality issues and identify automation opportunities. 
• Collaborate with stakeholders to gain a comprehensive, wholistic understanding of a given problem statement, and collaborate with team members to share best practices and accelerate opportunities for learning.
• Operate in an Agile software development team, providing input to design solutions and participating in design reviews. 

This position is NOT available to students on immigration visas

What Skills You Need

• Ideally you will be pursuing a Graduate degree in Data Science, Statistics, Mathematics, or other Engineering/Technical disciplines; others may apply
• Must be registered as a full-time Graduate student at a US accredited university
• Graduation date of May 2025 or later
• Cumulative GPA of 3.0 or above
• Able to work 16-20 hours/week during the academic year
• Able to work 35-40 hours/week during the summer semester
• Must be able to complete work and assignments remotely
• Must be able to travel onsite temporarily for training and onboarding purposes

What Makes You Stand Out

• Familiar with how to develop production-ready models in Python
• Demonstrated competency in using one or more data-access technologies, such as SQL, Spark, Databricks, BigQuery, MongoDB, etc. 
• Experience building machine learning models such as regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.  
• Experience with Visualization tools, such as Tableau, PowerBI, DataStudio, etc. 
• Experience with Data Modeling techniques such as normalization, data quality and coverage assessment, attribute analysis, performance management, etc. 
• Excellent communication skills
• Experience in roles that required strong analytical and problem-solving skills
• Experience working with Geospatial data and remote sensing data

NOTE: For Iowa State University Engineering students, this assignment will qualify for an ISU co-op position working 20 hours per week.

At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. 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. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:

• Flexible work arrangements
• Highly competitive base pay and performance bonuses
• Savings & Retirement benefits (401K and Defined Benefit Pension)
• Healthcare benefits with a generous company contribution in the Health Savings Account
• Adoption assistance
• Employee Assistance Programs
• Tuition assistance
• Fitness subsidies and on-site gyms at specific Deere locations
• Charitable contribution match
• Employee Purchase Plan & numerous discount programs for personal use

Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL

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.

The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.

ACA Section 1557 Nondiscrimination Notice

The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.