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Data Science Associate Jobs in Itasca, IL (NOW HIRING)

Associate Principal Scientist, PharmaR&D

Chicago, IL · On-site

$60K - $61K/yr

Associate Principal Scientist, PharmaR&D Boston, MA | New York City, NY | Chicago, IL Are you ... Work with Research, Engineering & Data Science teams across Tempus' expansive data science ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Lead Data Scientist

Oak Brook, IL · Hybrid

$102K - $193K/yr

Direct activities of associate/senior data scientists, third-party contractors, and consultants for specific business projects. * Comply with health and safety guidelines and rules; managers should ...

Lead Data Scientist

Oak Brook, IL · On-site

$102K - $193K/yr

Direct activities of associate/senior data scientists, third-party contractors, and consultants for specific business projects. * Comply with health and safety guidelines and rules; managers should ...

The role reports to the Associate Director, Data Science and serves as the primary technical partner to the analytics product owner, translating business outcomes and product requirements into ...

The role reports to the Associate Director, Data Science and serves as the primary technical partner to the analytics product owner, translating business outcomes and product requirements into ...

Principal Data Scientist

Mettawa, IL · On-site

$150 - $210/hr

The role reports to the Associate Director, Data Science and serves as the primary technical partner to the analytics product owner, translating business outcomes and product requirements into ...

The role reports to the Associate Director, Data Science and serves as the primary technical partner to the analytics product owner, translating business outcomes and product requirements into ...

The role reports to the Associate Director, Data Science and serves as the primary technical partner to the analytics product owner, translating business outcomes and product requirements into ...

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S ... Below is a list of some of the benefits we offer our associates: * Health: Medical: with ...

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S ... Below is a list of some of the benefits we offer our associates: * Health: Medical: with ...

Showing results 21-40

Data Science Associate information

See Itasca, IL salary details

$56K

$66.2K

$125.6K

How much do data science associate jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science associate in Itasca, IL is $66,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $57,900.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

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

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

What job categories do people searching Data Science Associate jobs in Itasca, IL look for?

The top searched job categories for Data Science Associate jobs in Itasca, IL are:

What cities near Itasca, IL are hiring for Data Science Associate jobs?

Cities near Itasca, IL with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Itasca, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,247 per year, or $31.8 per hour.

Senior Instructional Professor (open rank) in Data Science

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Lead and teach three quarters of the data science clinic courses and up to one additional course in data science.

  • Hire, evaluate, supervise, and mentor academic and staff appointees in the DSI Clinic program.

  • Manage the operations and activities of the Data Science Clinic program.


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

171st of 631 rated colleges and universities


Job description

Description
The Data Science Institute at the University of Chicago invites applications for the position of Senior Instructional Professor (open rank) to lead the Data Science Clinic. The Data Science Clinic is an experiential project-based course where students work in teams as data scientists with real-world clients from industry, academia, and social impact organizations. You can view more information about the DSI Clinic on our website here.
The candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, depending on qualifications and years of experience in a similar role. The appointment will be made in the Data Science Institute.
The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits. This position is expected to begin on or around December 1st, 2026.
Responsibilities include leading and teaching three quarters of the data science clinic courses as well as up to one additional course in data science. Additional responsibilities include hiring, evaluation, supervision, and mentoring of academic and staff appointees in the DSI Clinic program.
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.
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.
Qualifications
Required:
  • A Ph.D. in a related field
  • At least two years of experience teaching in a college or university as an instructor of record

Preferred:
  • Training and professional experience in one or more of the following areas: data science, machine learning, artificial intelligence, databases, and applied statistics.
  • Experience in management of experiential learning academic programs and personnel
  • And 3 years of industry experience with demonstrated quantitative, analytic, data science, and/or AI experience.

Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: apply.interfolio.com/190212.
Review of applications will begin on October 1, 2026 and will continue until all positions are filled.
The following materials are required:
  • curriculum vitae
  • cover letter
  • A teaching statement including description of teaching philosophy, curricular development experience, and ability to interact with a diverse group of students
  • Evidence of successful management of programs (or evidence of potential to do so)
  • Evidence of teaching effectiveness (e.g., course evaluations, performance review, or other relevant assessments),
  • syllabi of courses previously designed and taught
  • three confidential letters of recommendation requested via Interfolio

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