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Form of work
SalaryThere 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 -
Function: Data Science & Analytics
Title: Part-Time Student-Data Science and Analytics-Remote - 106401
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 Intelligent Solutions Group, you will...
- Explore new analytical problems and develop creative solutions using data and analytics
- Ingest, evaluate, and prepare data for use in algorithms and solutions
- Support the development of machine learning models by preparing training data, running basic scripts, and conducting preliminary model training runs
- Create analysis tools and dynamic visualizations to accelerate insight generation for our customers
- Participate in testing and validating the accuracy and functionality of data pipelines and machine learning models
- Research new analysis and visualization methodologies alongside domain subject matter experts from areas such as agronomy, engineering, and UX
- Communicate findings and methodologies to stakeholders at multiple levels
This position is not available to students on immigration visas.
What Skills You Need
- Currently enrolled in a graduate program (Master's or Ph.D.) in a technical field such as Computer Science, Engineering, Mathematics, or Statistics
- Must be registered as a full-time student at a U.S. accredited college/university
- Graduation date of May 2025 or later
- Cumulative GPA of 3.0 or above
- Available to work during the academic year 16-20 hours/weekly
- Available to work during the summer semester 35-40 hours/weekly
- Strong foundation in programming languages like Python, essential for data manipulation, analysis, and model development
- Proficiency in applying statistical methods and tools to analyze and interpret data
- Ability to clean, transform, and prepare data for analysis, including handling missing values and outliers
- Skilled in creating clear and informative visualizations (charts, graphs) to communicate data insights effectively
- Familiarity with querying databases using SQL to retrieve and manipulate data
- Familiarity with basic machine learning concepts and algorithms
- Knowledge of deep learning architectures and their applications in various domains
- Ability to explain technical concepts clearly to both technical and non-technical audiences and work effectively in a team environment
- Enthusiasm for staying up-to-date with the latest trends, tools, and techniques in data science through independent learning and exploration
What Makes You Stand Out
- Understanding of Big Data frameworks like Apache Spark for handling large and complex datasets
- Knowledge of geospatial data analysis techniques, including spatial data visualization and manipulation
- Understanding of computer vision techniques for tasks like image recognition and object detection
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.
