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Part Time Data Scientist Jobs in Iowa (NOW HIRING)

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 ...

$15 - $40/hr

Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Austin, TX or Urbandale, IA - 121636 Onsite/Remote: Onsite Position Note: Relocation assistance is not provided. The ...

$15 - $40/hr

The Part-Time Student Program is primarily designed to augment the Company's regular full-time ... Data Science, Applied Mathematics; other fields may apply. * Strong programming skills in Python ...

$15 - $40/hr

The Part-Time Student Program is primarily designed to augment the Company's regular full-time ... Data Science, Applied Mathematics; other fields may apply. * Strong programming skills in Python ...

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Part Time Data Scientist information

See Iowa salary details

$35.2K

$115.3K

$184.6K

How much do part time data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for part time data scientist in Iowa is $115,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,700.00 per year, depending on experience, location, and employer.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What does a part-time data scientist do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

What are the most commonly searched types of Data Scientist jobs in Iowa?

The most popular types of Data Scientist jobs in Iowa are:

What are popular job titles related to Part Time Data Scientist jobs in Iowa?

For Part Time Data Scientist jobs in Iowa, the most frequently searched job titles are:

What cities in Iowa are hiring for Part Time Data Scientist jobs?

Cities in Iowa with the most Part Time Data Scientist job openings:

Infographic showing various Part Time Data Scientist job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $115,284 per year, or $55.4 per hour.

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

John Deere

Part-time

Medical, Retirement, PTO

Posted 5 days ago


John Deere rating

7.7

Company rating: 7.7 out of 10

Based on 295 frontline employees who took The Breakroom Quiz

193rd of 546 rated manufacturers


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

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.

Nearest Major Market: Des Moines Job Segment: Cloud, GIS, Agricultural, Computer Science, PLM, Technology, Agriculture, Management


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