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Data Science Assistant Jobs in Champaign, IL (NOW HIRING)

Droisys

Software Engineer

Champaign, IL

Net and C# applications for instrument control, data collection and analysis. Train and assist end ... sciences or analytical sciences is helpful but not required Bachelors or Master's Degree in ...

Intertek

Chemical Technician II

Champaign, IL · On-site

$24 - $28/hr

From the farm to the fork, we assist customers at all points of the food supply chain in providing ... and scientific calculators * Ability to define problems, collect data, establish facts, and draw ...

Intertek

Chemical Technician II

Champaign, IL

$24 - $28/hr

From the farm to the fork, we assist customers at all points of the food supply chain in providing ... and scientific calculators * Ability to define problems, collect data, establish facts, and draw ...

Intertek

Chemical Technician II

Champaign, IL · On-site

$24 - $28/hr

From the farm to the fork, we assist customers at all points of the food supply chain in providing ... and scientific calculators * Ability to define problems, collect data, establish facts, and draw ...

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All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Champaign, IL

Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
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:
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What cities near Champaign, IL are hiring for Data Science Assistant jobs? Cities near Champaign, IL with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Champaign, IL as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Visiting Research Data Scientist - Illinois Fire Service Institute

Visiting Research Data Scientist - Illinois Fire Service Institute

University of Illinois

Urbana, IL • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Duties & Responsibilities
  • Data Management and Integration
    Integrate, manage, and curate complex, multi-source datasets, including survey data, occupational and environmental exposure data, physiological measurements, biomarker and laboratory assay data, and clinical and longitudinal research data.
    Develop and maintain secure, organized, and scalable data infrastructure for longitudinal research studies.
    Design and maintain reproducible data pipelines, workflows, and comprehensive documentation.
    Develop and maintain data dictionaries, codebooks, metadata documentation, and standard operating procedures.
    Perform data cleaning, validation, quality control, and auditing procedures to ensure data integrity and consistency.
    Coordinate data integration across multiple research platforms and collaborating institutions.
    Establish reproducible analytical workflows using version control and best practices in computational research.
  • Statistical & Computational Analysis
    Perform statistical analyses of longitudinal, repeated-measures, and complex observational datasets.
    Apply advanced statistical, multivariate, and machine learning methods, including regression modeling, mixed-effects models, clustering, dimensionality reduction, predictive modeling, and classification algorithms.
    Identify, model, and interpret relationships between occupational or environmental exposures and biological responses.
    Address confounding, bias, and missing data using appropriate analytical approaches, sensitivity analyses, and model diagnostics.
    Develop analytic strategies for biomarker, epidemiologic, and translational research studies.
    Generate high-quality statistical summaries, figures, tables, and visualizations for scientific publications, presentations, and reports.
    Assist investigators with interpretation and communication of analytical findings.
  • Collaboration & Research Support
    Collaborate closely with investigators and multidisciplinary research teams to translate scientific questions into rigorous analytical plans.
    Support preparation of manuscripts, conference abstracts, technical reports, and peer-reviewed publications.
    Contribute to grant proposals through preliminary analyses, data visualization, and methodological input.
    Participate in study meetings and scientific discussions regarding study design, analytical strategies, and interpretation of results.
    Coordinate with laboratory personnel, statisticians, clinicians, and external collaborators regarding data transfer, formatting, and harmonization.
    Ensure compliance with IRB requirements, HIPAA regulations, data-use agreements, institutional data governance policies, and human-subjects research protections.
  • Data Systems & Automation
    Develop automated scripts and computational workflows to improve efficiency, reproducibility, and scalability of data processing and analysis.
    Support maintenance and optimization of REDCap databases and related data management systems.
    Build and maintain dashboards, reporting tools, and data visualization platforms as needed.
    Implement version control and reproducible research practices using platforms such as Git/GitHub.
    Assist in developing infrastructure for secure data storage, sharing, and collaborative analysis.
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About University of Illinois

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The University of Illinois, located in Urbana, Illinois, US, is a prominent entity in the higher education sector. Operating its official functions through its website uillinois.edu, the institution provides a range of educational programs and services. The University was founded in 1867 and has since grown dramatically both in size and reputation. Its core values are embodied in its mission to enhance the lives of its students and citizens in the state, nation, and world through leadership in learning, discovery, engagement, and economic development. The university boasts several notable achievements including producing Nobel laureates and Pulitzer prize winners. It is renowned for its research programs and is known for significant advancements across various fields including engineering, science, and humanities.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Urbana, IL, US

Year founded

1974

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