Part-Time Student

• Data Science and Analytics
• Urbandale, IA or Austin, TX John Deere
• 3.9 Urbandale, IA Job Details Part-time | Full-time $15
• $40 an hour 1 day ago Benefits Health savings account Paid holidays Health insurance 401(k) Tuition reimbursement Adoption assistance Employee assistance program Employee discount Qualifications AI models Performance dashboards Data visualization software proficiency Data structures Dashboard creation Dashboard creation support Generative models Reporting and dashboarding tools SQL Machine intelligence Statistics research Distributed computing AI-driven automation Project stakeholder communication Python Generative AI Data analysis software Database software proficiency Full Job Description 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, including disabled & veterans.

Primary Location:

United States (US)

• Iowa

•

Urbandale Function:

Data and Analytics (CA)

Title:

Part-Time Student

• Data Science and Analytics
• Urbandale, IA or Austin, TX
• 122125

Onsite/Remote:

Onsite 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 Intelligent Solutions Group Urbandale located in Urbandale , IA , or Austin, TX you will be: Explore analytical problems and develop creative, data-driven solutions using modern data science, analytics, and AI techniques.

Ingest, evaluate, clean, transform, and prepare structured and unstructured data for use in algorithms, models, dashboards, and analytical solutions. Build analysis tools, prototypes, data pipelines, and dynamic visualizations to accelerate insight generation and support decision-making for internal customers and product teams. Support the development and evaluation of algorithms, machine learning models, causal inference methods, and GenAI-enabled workflows. Research new analytical, visualization, automation, and AI methodologies in collaboration with data science, engineering, agronomy, UX, and product subject matter experts. Apply data science and statistical techniques to solve business and product problems across the product lifecycle. Communicate findings, methodologies, assumptions, and recommendations clearly to technical and non-technical stakeholders at multiple levels. Work effectively in a collaborative, cross-functional environment while demonstrating curiosity, continuous learning, attention to detail, and high standards of quality. VISA Sponsorship is NOT Available for this position. What Skills You Need Graduate-level academic experience preferred, including current enrollment in a Master's or PhD program in Data Science; others may apply. Graduation date of Spring 2027 or later. Available to work during the academic year (16-20 hours weekly). Available to work during the summer semester (30-40 hours weekly). Must be registered as a full-time student at a U.S/local accredited university/college Cumulative GPA of 3.0 or above. Must be able to commute to the work location in Urbandale, IA or Austin, TX on a daily basis.

NOTE:

Relocation assistance is not provided. Strong analytical and problem-solving skills with the ability to explore ambiguous business or technical problems. Proficiency in Python, including experience with algorithms and data structures. Proficiency in SQL. Experience working with Generative AI tools. Foundational knowledge of machine learning and statistics. Knowledge of big data analysis, including experience or coursework with distributed data processing frameworks such as Apache Spark. Ability to create analytical outputs, dashboards, visualizations, or tools that help generate insights for customers and stakeholders. Strong communication skills, including the ability to explain technical methods and findings clearly to both technical and non-technical audiences. High level of attention to detail, accuracy, and ability to manage work effectively. What Makes You Stand Out Experience designing, building, evaluating, or deploying agentic AI systems, AI assistants, workflow automation, or LLM-based applications. Strong proficiency in causal inference, including experience with experimental design, quasi-experimental methods, treatment effect estimation, or causal modeling. Experience with geospatial data science, including spatial analytics, geospatial feature engineering, remote sensing analysis, satellite imagery, or precision agriculture datasets. Experience working with Databricks, Apache Spark, distributed computing, and large-scale data processing environments. Experience building production-quality analytical workflows, reusable data products, or scalable data science pipelines. Familiarity with cloud-based data platforms, model development environments, version control, and collaborative software development practices. Experience working as part of a digital product team, including collaboration with product managers, engineers, designers, domain experts, and business stakeholders. Ability to translate stakeholder needs into analytical questions, technical requirements, prototypes, and actionable insights. Experience creating interactive dashboards, data applications, or visualization tools that support decision-making. Knowledge of agricultural, geospatial, machine telemetry, IoT, or digital product data is a plus. Education Ideally you will have a degree or equivalent related work experience in the following: Currently enrolled in a Master's or PhD program in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Agricultural Engineering, Geospatial Science, Remote Sensing, or a closely related technical field. Strong candidates currently pursuing a Bachelor's degree may also be considered if they demonstrate exceptional technical ability, strong analytical skills, relevant project experience, and high potential for growth. Coursework or research experience in data science, machine learning, causal inference, big data analytics, geospatial analytics, artificial intelligence, or software development is strongly preferred. 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 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 Vacation and Holiday Pay $15

• $40 hourly based on published rates for business function and education level.

Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL Must be 18 years of age or older to apply 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, 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.