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Data Science Research Assistant Jobs in Evanston, IL

Design and execute research projects using internal client data. * Communicate complex quantitative ... Advanced degree (PhD preferred) in a quantitative social science field, or equivalent experience

Build an AI-native data science team by thoughtfully integrating AI into research, experimentation, software development, and scientific workflows - helping scientists move faster while maintaining ...

Research Assistant

Chicago, IL ยท On-site

$50K - $70K/yr

... scientists, and scientists in 15 sections that cover the range of pediatric care. Our education ... Interdependently conducts data recording, analysis, and writes lab reports. Works directly with ...

The ideal candidate pairs strong full-stack data science skills with domain intuition and thrives ... You'll work across diverse data environments (from small, high-value R&D experiments to complex ...

Research Assistant

Chicago, IL ยท On-site

$19.23 - $24.04/hr

Conduct chart reviews for Implementation Science projects. * Perform HIV testing, phlebotomy, and ... * Assist with data entry and management for clinical, social medicine, and research teams.

Senior Scientist Data Science

Chicago, IL ยท On-site

$130 - $155/hr

The ideal candidate pairs strong full-stack data science skills with domain intuition and thrives ... You'll work across diverse data environments (from small, high-value R&D experiments to complex ...

Own data science requirements and tracking, working to identify strategies and opportunities to ... Contribute to research and innovation initiatives in collaboration with other DSA peers and may ...

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Data Science Research Assistant information

See Evanston, IL salary details

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How much do data science research assistant jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for data science research assistant in Evanston, IL is $21.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $24.47 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

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

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the most commonly searched types of Data Science Research jobs in Evanston, IL?

The most popular types of Data Science Research jobs in Evanston, IL are:

What are popular job titles related to Data Science Research Assistant jobs in Evanston, IL?

For Data Science Research Assistant jobs in Evanston, IL, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant jobs in Evanston, IL look for?

The top searched job categories for Data Science Research Assistant jobs in Evanston, IL are:

What cities near Evanston, IL are hiring for Data Science Research Assistant jobs?

Cities near Evanston, IL with the most Data Science Research Assistant job openings:

Infographic showing various Data Science Research Assistant job openings in Evanston, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $43,733 per year, or $21 per hour.

Data Scientist/Social Science Researcher

Evanston, IL โ€ข On-site

$83 - $138/hr

Other

Posted 5 days ago


Job description

We are seeking an experienced freelance researcher with advanced skills in data science, research design, and translational research. Reporting to and partnering directly with firm leadership, you will work across a varied portfolioโ€”advocacy research, messaging polls for political candidates, organizational climate surveys, and more. Survey analysis is our most frequent type of project.

The ideal candidate brings a flexible mind and the ability to carry data-centric projects from research design and data cleaning through analysis and final deliverables. You will use your whole brain, learn new skills, teach your collaborators, and directly shape strategic decisions made by our corporate, political, and nonprofit clients.

We anticipate a workload of approximately 30โ€“60 hours per month, varying with the project cycle. We would ideally fill this position with one person working across a wide range of projects, but we are also building a roster of partners for project-based work. Applicants with limited availability are welcome alongside those seeking more regular, intensive engagement.

Key Responsibilities
  • Draft public opinion surveys, using social scientific best practices, that answer clientsโ€™ key strategic questions.
  • Clean and process survey data efficiently, including the development of survey weights.
  • Produce survey deliverables: topline results, strategy-focused memos, and presentations with clear, data visualizations.
  • Design and execute research projects using internal client data.
  • Communicate complex quantitative results to audiences with varying levels of statistical fluency.
  • Advanced degree (PhD preferred) in a quantitative social science field, or equivalent experience
  • Demonstrated ability to design and conduct quantitative research projects efficiently
  • Knowledge of best practices and scientific principles of polling and public opinion research
  • High proficiency in R and/or STATA, our primary analysis tools
  • Experience with survey platforms such as Qualtrics or SurveyMonkey
  • Knowledge of and experience applying data visualization best practices
  • Proficiency with Microsoft Office and presentation software
  • Excellent writing, communication, and critical thinking skills
  • Ability to balance priorities within and across projects, learn new skills, and adapt to new clients
  • High responsiveness and self-directed autonomy in a remote work environment
  • Understanding of and experience with equity-driven research and analysis

Commitment to working with people of diverse backgrounds and perspectives

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