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Full Time Data Science Rotational Program Jobs in Chicago, IL

You'll contribute to data science systems across multiple SaaS products with end-to-end influence ... Strong support for career growth, including mentorship programs, leadership training, access to ...

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is ... Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program * Lunch ...

Director, Marketing Data Science Responsibilities: * Lead Measurement & Analytics: Oversee the ... Invent and implement new measurement programs to consolidate trackers, enhance efficiency, and ...

... security program. You will structure and analyze massive security telemetry datasets, build ML ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

... programs. Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve. About the Opportunity At Wonder Data Science, our mission is ...

... security program. You will structure and analyze massive security telemetry datasets, build ML ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

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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 25, 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.
Assistant Director, Instructional Services

Assistant Director, Instructional Services

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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

Department
PSD Applied Data Science: Instructional Services and Innovation
About the Department
The Master's in Applied Data Science program (MS-ADS) is a professional graduate program within the Physical Sciences Division (PSD) and the Data Science Institute (DSI) at The University of Chicago. The purpose of the MS-ADS program is to train and educate students in Data Science and AI for careers in industry. Designed for professionals with backgrounds in technical fields, the program offers rigorous classes, expert instructors, leading-edge technology, and an unparalleled network of industry professionals for full- and part-time learners across a variety of in-person and online degree pathways. The program benefits from a mix of full-time clinical faculty, part-time adjunct faculty, part-time lecturers, and other instructional support staff. While program faculty often collaborate with the university's full-time research and/or tenure-track faculty, MS-ADS's faculty are unique in that they are industry experts who have a scope and depth of experience in full-time data science positions outside of academia. Learn more about our program at https://datascience.uchicago.edu/education/masters-programs/ms-in-applied-data-science/
Job Summary
Reporting to the Director of Academic Affairs & Operations, the Assistant Director works closely with program staff and faculty to manage many key administrative tasks critical to running the MS-ADS program. Key areas of focus for the Assistant Director are leading and supporting the year-round recruitment, hiring, and onboarding of teaching assistants, graders, and other instructional support staff (~200 individual classes scheduled annually). The majority of eligible teaching assistants are program alumni or other working professionals who previously completed advanced coursework. The Assistant Director also collaborates with the MS-ADS admissions and student affairs teams to help ensure course offerings are aligned with student demand across the full- and part-time online and in-person degree pathways. This role will be required to collaborate with academic affairs and HR staff in the PSD and, at times, the DSI on matters related to HR policy and compliance for academic faculty and instructional staff hires. A percentage of the Assistant Director's time may be dedicated to the planning, development, and/or execution of new, related master's programs on an as-needed basis. This position is primarily based in the NBC Tower location in downtown Chicago, IL and eligible for a partially remote work schedule. This anticipated start date for this position is August 3, 2026.
Responsibilities
  • Demonstrates a thorough understanding of University policies, procedures, and best practices to support instructional staff hiring processes.

  • Acts as a key representative of the program for instructional staff recruitment and screening, ensuring timely completion and compliance with University and Divisional policies.
  • Manages planning, execution, and assessment of the recruitment, assignment, and onboarding of teaching assistants, graders, and any other instructional support staff (including HR-related processes for payment) on a year-round basis.
  • Coordinates, documents, and facilitates recruitment, hiring, onboarding, and orientation processes for instructional staff, including communication of HR onboarding steps and monitoring progress.
  • Collaborates with faculty on the recruitment, screening, and selection of instructional staff.
  • Drafts instructional staff applications, offer letters, pay memos and maintains human resources data and records.
  • Troubleshoots instructional staff technology access issues, academic issues with students, payroll concerns and solves straightforward problems using standard procedures.
  • Maintains accurate documentation and tracks appointment and visa expiration dates and annual hours worked to ensure continuous compliance.
  • Works with the PSD HR regarding visa processes and work authorization for instructional staff.
  • Develops resources to support new and returning instructional staff professional development and serves as a general resource for program information.
  • Supports process improvement and ad hoc reporting.
  • Communicates quarterly timelines and deadlines for instructional staff course preparation, scheduling, grading, and other key academic activities.
  • Provides support for course Canvas sites and Zoom access to facilitate instructional delivery.
  • Identifies operational goals and assists with resource allocation to meet priorities.
  • Supports hiring for academic faculty and other temporary staff as needed.
  • Assists with and coordinates faculty meetings and events and performs other related duties as required.
  • Supports annual foundational assessments, assisting faculty and students with communications, troubleshooting, and process guidance.
  • Uses moderate/solid understanding and experience to administer the delivery of services to program participants and/or beneficiaries.
  • Sets and communicates program priorities and performance standards and assesses operations using these criteria. Plans and conducts quality assurance reviews and recommends changes as appropriate.
  • Has moderate/high levels of interactions with faculty, researchers and staff for committee work or information.
  • 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 2-5 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Experience:
  • Experience working in academic affairs and/or HR.
  • Experience working with faculty in a research-intensive university environment.
  • Experience hiring international personnel and/or interfacing with an office of international affairs in a post-secondary institution.
  • Small-scale meeting or event planning/execution.
  • Project management experience.

Technical Skills or Knowledge:
  • Experience with learning platforms and technologies (e.g., Canvas, Zoom, Whiteboard).
  • Proficiency in office software for data management and reporting purposes such as Microsoft Excel, Google Docs, etc.

Preferred Competencies
  • Outstanding interpersonal skills including the ability to resolve problems with a high degree of discretion, diplomacy, and tact.
  • Outstanding written and verbal communication skills, including the ability to clearly communicate to a diverse audience including students, faculty, donors, and staff.
  • Ability to coordinate with many partner offices simultaneously to innovatively problem solve on behalf of students and staff.
  • Superior organizational skills and constant attention to detail.
  • Ability to work independently, with guidance in only the most complex situations.
  • Commitment to excellent customer service, including tact, discretion, and proper judgment as necessary.
  • Expertise to collect and maintain a vast array of records to improve organizational knowledge and data points.
  • Ability to influence others without formal authority by building positive working relationships.
  • Basic knowledge of generative AI tools such as chatGPT.

Working Conditions
  • This position is eligible for a partially remote work schedule.
  • This position requires occasional work on evenings and weekends.

Application Documents
  • Resume (required)
  • Cover Letter (required)
  • 2-3 Professional References - Contact Information Only (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
Administration & Management
Role Impact
Individual Contributor
Scheduled Weekly Hours
37.5
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$71,000.00 - $82,000.00
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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