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Part-Time Student - Data Science and Analytics - Urbandale, IA or Austin, TX

Pay
$15–40/hourLocation-specific pay — pay source
* 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
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workVISA Sponsorship is NOT Available for this position

What you’ll work on

Full posting
  • Explore analytical problems and build data-driven solutions with data science and AI methods

  • Clean and prepare structured and unstructured data for models and dashboards

  • Build analysis tools, prototypes, data pipelines, and visualizations

  • Support development of machine learning, causal inference, and GenAI workflows

  • Communicate findings and recommendations to technical and non-technical stakeholders

From the employer’s posting
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.
Communicate findings, methodologies, assumptions, and recommendations clearly to technical and non-technical stakeholders at multiple levels.
Education & alternatives
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:
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Posting record

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Open 3 monthsWe first saw this posting 116 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 11, 2026116 days ago
Recorded sightings
551
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 116

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

John Deere is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
  • Spark
Where the posting names them
## 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
## 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

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.
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Pay
* 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
Location & working pattern

Urbandale, IA, US

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.

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