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Part Time Data Science Jobs in Champaign, IL (NOW HIRING)

ExcelPrep Schools

RBT

Champaign, IL

$18.50 - $24.25/hr

Precision Teaching and data-based decision making * Behavior-science research and evidence-based ... Flexible options: full-time and part-time roles available. * Typical school-day hours with some ...

ExcelPrep Schools

Paraprofessional

Champaign, IL

$15 - $19.50/hr

Precision Teaching and data-based decision making * Instruction grounded in behavior science ... Flexible options: full-time and part-time roles available. * Typical school-day hours, with ...

Compass Group

JANITOR (FULL TIME)

Champaign, IL · On-site

$17.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Compass Group

JANITOR

Champaign, IL · On-site

$17.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

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Part Time Data Science information

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How much do part time data science jobs pay per hour?

As of May 28, 2026, the average hourly pay for part time data science in Champaign, IL is $43.13, according to ZipRecruiter salary data. Most workers in this role earn between $14.14 and $64.07 per hour, depending on experience, location, and employer.

What Are Part Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

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, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Champaign, IL? The most popular types of Data Science jobs in Champaign, IL are:
What are popular job titles related to Part Time Data Science jobs in Champaign, IL? For Part Time Data Science jobs in Champaign, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Champaign, IL look for? The top searched job categories for Part Time Data Science jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Part Time Data Science jobs? Cities near Champaign, IL with the most Part Time Data Science job openings:
Part Time Data Science jobs near you
Data Engineer / Data Platform Engineer Internship Fall 2026 Semester at the Dow Delivery Center a...

Data Engineer / Data Platform Engineer Internship Fall 2026 Semester at the Dow Delivery Center a...

Dow

Champaign, IL • On-site

Part-time

Posted 22 days ago

Dow rating

8.9

Company rating: 8.9 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

5th of 88 rated chemical manufacturers

Job description

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet.
Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place.
Dow has part-time Data Engineering and Data Platform Engineering internship opportunities within Dow's Enterprise Data & Analytics organization.
This position is an in-person, part-time (15-20 hours per week) internship role based out of Champaign, IL at the Dow Delivery Center at UIUC (University of Illinois Urbana Champaign) in Research Park. Individuals who are within one to three years of graduation and are currently enrolled at the University of Illinois Urbana Champaign working towards a Bachelor's or Master's degree in a related technical field are encouraged to apply. The duration of the internship is typically 12-14 weeks during the fall academic semester.
As a Data Engineer Intern, you will focus on the ingestion, persistence, and curation of data as defined by specific projects. The on-site Dow Delivery Center at UIUC people manager and technical manager will provide in-person mentorship across your day-to-day activities.
The Data Engineer Intern will work closely with a multi-disciplinary team to:
  • Create data pipelines for projects in the Azure environment.
  • Design, develop, test, and implement analytics. This includes the curation and ingestion of data from different source systems, driving end-to-end data flow for multiple solutions.
  • Identify opportunities for innovating with digital capabilities aiming to accelerate Dow's digital transformation.

As a Data Platform Engineer Intern, you will work with a multi-disciplinary IT expert team of analysts, engineers, developers, and support team members to create and maintain Azure cloud-based data and AI solutions. The on-site Dow Delivery Center at UIUC people manager and technical manager will provide in-person mentorship across your day-to-day activities which may include:
  • Develop and implement Azure cloud-based solutions for data and AI, ensuring they meet the organization's requirements and standards. This includes utilizing tools like Azure Data Factory, Azure SQL, Azure OpenAI, Azure Function Apps, Azure Logic Apps, and Azure Databricks.
  • Maintain and monitor existing Azure infrastructure and workloads to ensure optimal performance, reliability, and scalability. Any failures or enhancements to be fixed with infrastructure as code tools such as ARM, Bicep and Terraform within Azure DevOps.
  • Ensure the security of Azure applications and infrastructure by implementing best practices and security measures with Role Based Access Controls, and authentication using Service Principals and Managed Identities from Entra as an Identity Provider.
  • Perform troubleshooting and root cause analysis for infrastructure issues to ensure minimal downtime and quick resolution.
  • Work closely with developers and senior employees to implement continuous delivery systems and methodologies on Azure. Designs that are created will be implemented following the best practices during sprints as part of the Agile methodology.
  • Document best practices, workflow, and strategies regarding solutions, knowledge transfer, and infrastructure maintenance in DevOps Wiki.

Qualifications
Required:
  • Must be currently enrolled at the University of Illinois Urbana Champaign.
  • Must be working towards a Bachelor's or Master's degree in a related technical field.
  • Must be within one to three years of graduation.
  • A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process.

Preferred:
  • A GPA of 3.0 or higher.
  • A degree discipline in Computer Science, Computer Information Systems, or other Engineering Disciplines
  • Experience with cloud platforms such as AWS, GCP or Azure.
  • Familiarity with cloud-based data lakehouse platforms such as Databricks or Snowflake
  • Familiarity with Python, Scala, and SQL programming languages as well as scripting languages like PowerShell
  • Experience with structured/semi-/non-structured databases, data ingestion, and data modeling.
  • Multi-application and cross-platform design experience.
  • Proficiency in data visualization tools like Microsoft Power BI.
  • Knowledge of Agile Methodology, Scrum, or Kanban methodologies.
  • Knowledge of version control systems and code review practices.

Skills
  • Technical Proficiency: Background in computer science, computer information systems, or other engineering disciplines. Familiarity with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure. Familiarity with Python, Scala, and SQL programming languages. For Data Platform Engineering specifically, familiarity with Python, Scala, and SQL programming languages as well as scripting languages like PowerShell. Experience with structured/semi-/non-structured databases, data ingestion, and data modeling.
  • Problem-Solving Skills: Effectively troubleshoot and resolve issues.
  • Collaboration and Communication: Works well with cross-functional teams and communicates effectively (spoken and written).
  • Security and Compliance: Familiarity with security and compliance best practices and standards.
  • Innovation and Improvement: Continuously seeks opportunities to improve existing processes and implement new technologies.
  • Documentation and Reporting: Maintains thorough documentation of processes, solutions, and best practices.
  • Time Management & Organizational Skills: Ability to manage your own work effort with little supervision.

Additional notes
  • This position does not offer relocation or housing assistance.
  • Must have access to public transportation or have personal/reliable transportation during the work term to complete internship shifts in-person at the Dow Delivery Center at UIUC.
  • For positions based in Illinois, Dow is required by law to include the pay scale that is reasonably expected to represent the pay range for the position. This pay range is specific to the State of Illinois and accounts for both new and experienced employees with consideration to factors including but not limited to skillset, experience, and sustained job performance (or similar jobs). A reasonable pay range for this position is: Bachelors: $25.72-$34.28 per hour; Masters: $36.35-$38.41 per hour

About Dow
Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com.
As part of our dedication to inclusion, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on www.dow.com.
Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR (833-693-6947) and select option 8.

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