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Data Science Rotational Program Jobs in Illinois

AbbVie

Data Science Program Lead II

North Chicago, IL · On-site

$109K/yr

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 ...

AbbVie

Data Science Program Lead II

North Chicago, IL · On-site

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 ...

AbbVie

Data Science Program Lead II

North Chicago, IL · On-site

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 ...

AbbVie

Data Science Program Lead II

North Chicago, IL · On-site

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 ...

Citigroup, Inc.

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 ... Data Science Job Family Group: Job Family: Time Type: Full time Primary Location: Schaumburg ...

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Data Science Rotational Program information

What kinds of projects and experiences can I expect during a Data Science Rotational Program?

During a Data Science Rotational Program, you’ll work on a wide variety of projects such as predictive modeling, data visualization, natural language processing, and business analytics across multiple departments. You’ll have the chance to collaborate with cross-functional teams, including engineering, product development, and business strategy, to solve real-world problems using data-driven insights. Typically, each rotation lasts a few months and provides practical exposure to different tools, datasets, and methodologies, helping you build a diverse portfolio of experience. This structure not only broadens your technical expertise but also gives you valuable networking opportunities and a clearer perspective on potential career paths within data science.

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

To thrive in a Data Science Rotational Program, you typically need a strong background in statistics, programming (such as Python or R), and data analysis, along with a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with data visualization tools (e.g., Tableau, Power BI), machine learning libraries, and experience with SQL databases are important technical assets for the role. Exceptional problem-solving abilities, curiosity, adaptability, and effective communication skills help you collaborate and learn across different teams and projects. These competencies enable you to quickly adapt, contribute meaningfully, and build a well-rounded data science skill set throughout the rotations.

What is a Data Science Rotational Program job?

A Data Science Rotational Program is a structured, multi-phase role designed to give participants hands-on experience across different teams within a company. Participants rotate through various data science functions, such as machine learning, analytics, and data engineering, gaining exposure to diverse projects and tools. This program helps develop technical skills, business acumen, and a broad understanding of how data science impacts different areas of the organization. It is ideal for early-career professionals or recent graduates looking to explore different career paths in data science before specializing.

What are the most commonly searched types of Data Science Rotational Program jobs in Illinois? The most popular types of Data Science Rotational Program jobs in Illinois are:
What are popular job titles related to Data Science Rotational Program jobs in Illinois? For Data Science Rotational Program jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Science Rotational Program jobs in Illinois look for? The top searched job categories for Data Science Rotational Program jobs in Illinois are:
Data Science Rotational Program jobs near you
Infographic showing various Data Science Rotational Program job openings in Illinois as of June 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution.
Associate Professor of Data Science

Associate Professor of Data Science

The University of Chicago

Chicago, IL • On-site

$60K - $61K/yr

Full-time

Medical, Retirement, PTO

Posted 27 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 538 rated colleges and universities

Job description

Description
The University of Chicago invites applications for tenured faculty positions at the rank of Associate Professor in the area of Data Science. Appointments may be made in either the Department of Computer Science or the Department of Statistics, jointly between Statistics and Computer Science, or jointly with another department in the University.
The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference. We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science(codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab, and Argonne National Laboratory.
Members of the faculty are expected to lead research programs that will produce significant contributions to a field, and teach and mentor at the undergraduate and graduate levels.
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.
Qualifications
Required: A PhD in Data Science, AI, Statistics, Computer Science, Applied Mathematics, or related field. Candidates must have evidence of leadership in their field, successful independent research, and a demonstrated track record of mentoring PhD students and/or postdoctoral researchers.
Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: https://apply.interfolio.com/174768.
Review of applications will begin on October 26, 2025, and will continue until all positions are filled.
The following materials are required:
• cover letter;
• curriculum vitae, including a list of publications;
• statement describing past and current research accomplishments and outlining future research plans; and
• description of teaching and mentoring philosophy and experience.
The following materials may be requested:
• up to three publications and
• names of three or more people who can provide confidential letters of recommendation.

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