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Remote Data Science Jobs in Illinois (NOW HIRING)

Lead Data Scientist (Remote)

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data science problem statements, solution designs, success metrics, and implementation plans. Technical Leadership as an Individual Contributor • Serve as a hands-on technical lead for high-impact ...

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Data Scientist

Chicago, IL · On-site +1

$103K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and the ranges for remote candidates are $95,900 - $159,800 . This role is eligible for an ... Bachelor's Degree BS in technical field such as Statistics, Mathematics, Data Science, Applied ...

IL0219 - Data Scientist.

Warrenville, IL · On-site +1

$128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

IL0219 - Data Scientist.

Warrenville, IL · On-site +1

$128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

IL0219 - Data Scientist.

Warrenville, IL · On-site +1

$128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Senior Data Scientist, Supply Chain

Chicago, IL · On-site +1

$82K - $120K/yr

  • Retirement

  • PTO

Reporting to the Manager Data Science, you will lead analytics projects within defined areas of expertise by researching, collecting, analyzing, and interpreting data to identify trends and deliver ...

Data Analyst Lead

Chicago, IL · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Data Scientist II

Chicago, IL · On-site +1

$130K - $150K/yr

Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2-4 years of applied ML or data science experience, or equivalent practical ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Experience with continuous integration, especially in a data science context * Experience with Ruby on Rails Benefits: * Competitive salary and benefits package * Flexible, remote work * Fun, fast ...

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... You will work closely with Data Engineering, Data Science, Machine Learning, Product, and Software ...

Showing results 21-40

Remote Data Science information

See Illinois salary details

$20.6K

$91.7K

$175.1K

How much do remote data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data science in Illinois is $91,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,383.00 and $127,234.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Data Science jobs in Illinois?

The most popular types of Data Science jobs in Illinois are:

What cities in Illinois are hiring for Remote Data Science jobs?

Cities in Illinois with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,732 per year, or $44.1 per hour.

Data Science Analyst -TCOM

The University of Chicago

Chicago, IL • On-site, Remote

$24.04 - $31.25/hr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities


Job description

Department
BSD PSY - Lyons Lab
About the Department
To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.
Job Summary
The Data Science Analyst provides technical assistance to help learners access and navigate online training systems. The Specialist serves as the liaison between end-users and the learning platform. Under direct supervision, this job performs a broad range of operational activities, which may include collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. This job also performs assignments related to data manipulation, statistical applications, programming, analysis and modeling.
Responsibilities
  • Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.
  • Provide clear, compassionate, and timely support to learners through phone and email.
  • Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider's support desk.
  • Collaborate with the LMS provider's support team to identify, report, and help resolve technical issues.
  • Track and share patterns or recurring concerns that may indicate broader system issues.
  • Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.
  • Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.
  • Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
  • May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
  • Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
  • Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Experience:
  • Learning Management Systems.

Technical Skills or Knowledge:
  • Knowledge Learning Management Systems and Zendesk.

Preferred Competencies
  • Strong communication skills with the ability to explain technical information in clear and supportive ways.
  • Patience, empathy, and commitment to learner success.
  • Detail-oriented and organized, with the ability to manage multiple requests efficiently.
  • Comfort with technology and ability to learn new learning management systems.
  • Excellent communication and coaching abilities.
  • Proficiency with Microsoft Office 365 and LMS platforms.
  • Organizational skills.
  • Verbal and written communication skills.
  • Work independently and as part of a multidisciplinary team.

Application Documents
  • Resume/CV (required)
  • Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Hourly
FLSA Status
Non-Exempt
Pay Range
$24.04 - $31.25
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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