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Full Time Data Science Rotational Program Jobs in Chicago, IL

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Support hiring and onboarding, including intern and actuarial student rotations. Strategic ...

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

Data Science Lead Analyst

Schaumburg, IL · On-site

$157K - $163K/yr

... data processing programs. Design and construct new data processes using Base SAS, SAS Macros ... Job Family: Time Type: Full time Primary Location: Schaumburg Illinois United States Primary ...

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

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Showing results 1-20

Full Time Data Science Rotational Program information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

How much do full time data science rotational program jobs pay per year?

As of Jun 24, 2026, the average yearly pay for full time data science rotational program in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 per year, depending on experience, location, and employer.

What can participants expect in terms of team collaboration and mentorship during a Full Time Data Science Rotational Program?

Participants in a Full Time Data Science Rotational Program typically work on diverse teams across multiple business units, allowing them to collaborate with data scientists, analysts, engineers, and business stakeholders. Each rotation usually includes dedicated mentorship from experienced professionals, who guide project work and career development. This structure provides a supportive environment for learning new tools and methodologies while building a broad professional network. Regular feedback sessions and cross-functional projects are common, giving participants a holistic view of how data science drives business decisions.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to develop and oversee AI systems, requiring skills in programming, statistics, and domain knowledge. The role evolves rather than disappears, emphasizing the importance of continuous learning and adaptation in the field.

Is 40 too late for data science?

Full Time Data Science Rotational Programs often accept candidates of various ages, and starting a career in data science at 40 is possible. Success depends on relevant skills such as programming, statistics, and experience with tools like Python or R, rather than age alone.

Is 30 too late for data science?

The Full Time Data Science Rotational Program is open to candidates of various ages, and starting a career in data science at 30 is common. Success depends on skills, relevant experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What are the key skills and qualifications needed to thrive in a Full Time Data Science Rotational Program, and why are they important?

To succeed in a Full Time Data Science Rotational Program, you typically need a strong background in statistics, programming (such as Python or R), and data analysis, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and experience using databases (SQL) are commonly required. Excellent problem-solving, adaptability, and strong communication skills help you collaborate across diverse teams and effectively present insights. These skills are critical because the rotational structure demands quick learning, versatility, and the ability to deliver impactful data-driven solutions in different business contexts.

Are rotational programs full-time jobs?

Yes, rotational programs, including full-time data science rotational programs, are typically considered full-time employment opportunities. Participants usually work standard hours, receive benefits, and are employed under a formal contract similar to other full-time roles. These programs often provide training and exposure to different areas within a company over a set period.

What is the difference between Full Time Data Science Rotational Program vs Data Analyst?

AspectFull Time Data Science Rotational ProgramData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Business, Economics, or related fields
Work EnvironmentRotational assignments across teams, focus on data science projectsFocused on data interpretation, reporting, and visualization
Employer & Industry UsageCommon in tech, consulting, finance; designed for early-career developmentWidely used across industries for data-driven decision making

The Full Time Data Science Rotational Program offers a structured, multi-team experience for early-career professionals aiming to develop broad data science skills. In contrast, Data Analysts typically focus on analyzing and visualizing data within a specific domain. Both roles require strong analytical skills, but the rotational program emphasizes diverse project exposure and skill-building, making it ideal for those seeking a comprehensive entry into data science careers.

What is a Full Time Data Science Rotational Program?

A Full Time Data Science Rotational Program is a structured, entry-level career development initiative offered by many companies, designed to give recent graduates or early-career professionals broad exposure to different areas within data science. Participants rotate through several departments or teams, working on various data-driven projects, such as machine learning, analytics, data engineering, and business intelligence. These programs typically last 1-2 years and provide hands-on training, mentorship, and networking opportunities. The goal is to help participants develop a diverse skill set and identify their preferred area of specialization within data science. Upon completion, individuals are often placed into permanent data science roles within the organization.
What are the most commonly searched types of Data Science Rotational Program jobs in Chicago, IL? The most popular types of Data Science Rotational Program jobs in Chicago, IL are:
What are popular job titles related to Full Time Data Science Rotational Program jobs in Chicago, IL? For Full Time Data Science Rotational Program jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Full Time Data Science Rotational Program jobs in Chicago, IL look for? The top searched job categories for Full Time Data Science Rotational Program jobs in Chicago, IL are:
Infographic showing various Full Time Data Science Rotational Program job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,438 per year, or $60.8 per hour.
Team Scientists -- Translational Data Science #MED354

Team Scientists -- Translational Data Science #MED354

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 15 days ago


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

109th of 539 rated colleges and universities


Job description

Description
The University of Chicago's Department of Medicine is searching for full-time faculty members on the School of Medicine track, at any rank, to join the Center for Translational Data Science, which focuses on the application of data science to research problems in biology, medicine and healthcare). We seek team scientists who will lead research focusing on: a) translational data science; b) the development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science; and/or c) the development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science. Other duties will include teaching and supervision of trainees and students, and scholarly activity. Academic rank and compensation are dependent upon qualifications.
This position is benefits-eligible. 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.
Prior to the start of employment, qualified applicants must have a doctoral degree or equivalent, in the following fields: Biomedical Data Science, Computer Science, Data Science, Informational Technology, Biomedical Informatics, or a related field.
We especially welcome applicants whose research is broadly focused in the areas of computer science, bioinformatics, data science, mathematics, information technology, genetics, genomics, and/or systems biology.
To be considered, those interested must apply through The University of Chicago's Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/163014. Applicants must upload a CV including bibliography, a cover letter, and a research statement. Review of applications will continue until the positions are filled.
For instructions on the Interfolio application process, please visit: http://tiny.cc/InterfolioHelp

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