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Data Scientist Trainee Jobs in Chicago, IL (NOW HIRING)

Projects will be data-driven, using a reverse translational approach. Our recent work revealed that ... Trainees who join Dr. Sodhi's Lab will gain experience in Molecular Genetics, Gene expression ...

Underwriting Trainee

Chicago, IL · On-site

$65K - $75K/yr

Strong analytical and problem-solving skills, with the ability to interpret data and apply sound ... economics, actuarial science, or related fields. * Required: Proficiency with Microsoft ...

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Data Scientist Trainee information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

How much do data scientist trainee jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data scientist trainee 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 is a data scientist trainee?

A Data Scientist Trainee is an entry-level role designed for individuals looking to gain hands-on experience in data science. Trainees typically work under the guidance of senior data scientists, assisting with data collection, cleaning, analysis, and model development. They may use programming languages like Python or R, as well as tools like SQL and machine learning frameworks. This role helps build foundational knowledge in data science principles, statistical analysis, and data visualization. It is ideal for recent graduates or career switchers who want to develop practical skills before transitioning into a full-time data science role.

What are the typical responsibilities of a data scientist trainee?

As a Data Scientist Trainee, you will often assist with cleaning and organizing large datasets, performing exploratory data analysis, and developing basic predictive models under the guidance of more experienced team members. You may also help create data visualizations, build dashboards, or automate simple data processing tasks. Collaboration is key, as you’ll regularly work with senior data scientists, business analysts, and sometimes cross-functional teams to support ongoing projects and learn industry best practices. This role provides a valuable hands-on foundation, helping you build the technical and analytical skills necessary for future advancement in the field.

What are the key skills and qualifications needed to thrive as a data scientist trainee?

To thrive as a Data Scientist Trainee, you need a solid understanding of statistics, data analysis, and programming (preferably in Python or R), often supported by a degree in a quantitative field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and entry-level certifications such as IBM Data Science Professional Certificate can be highly beneficial. Attention to detail, problem-solving ability, and a willingness to learn and collaborate help distinguish strong candidates in this role. These qualifications and competencies enable trainees to effectively support data projects, extract meaningful insights, and smoothly develop into more advanced data science positions.

Can I get a data scientist trainee job with no experience?

Data scientist trainee positions often target candidates with limited experience and focus on training and skill development. Having foundational knowledge in programming, statistics, and data analysis tools like Python or R can improve your chances, but some companies offer entry-level programs for beginners. Demonstrating a strong interest in data science through coursework, projects, or certifications can also be beneficial.

How to start a career in data scientist trainee with no experience?

To start a career as a data scientist trainee with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can improve your prospects; obtaining relevant certifications can also enhance your resume.

What does a data scientist trainee do?

A data scientist trainee assists in analyzing data, developing models, and interpreting results under the supervision of experienced data scientists. They often learn programming languages like Python or R, work with data visualization tools, and gain practical experience in data cleaning, statistical analysis, and machine learning techniques.

What are the most commonly searched types of Data Scientist jobs in Chicago, IL?

The most popular types of Data Scientist jobs in Chicago, IL are:

What are popular job titles related to Data Scientist Trainee jobs in Chicago, IL?

For Data Scientist Trainee jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Scientist Trainee jobs in Chicago, IL look for?

The top searched job categories for Data Scientist Trainee jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Scientist Trainee jobs?

Cities near Chicago, IL with the most Data Scientist Trainee job openings:

Infographic showing various Data Scientist Trainee job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,438 per year, or $60.8 per hour.

Team Scientists -- Translational Data Science #MED354

Chicago, IL • On-site


University of Chicago
Colleges, Universities, and Professional Schools • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

168th of 627 rated colleges and universities

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Recommended by students


Full-time

Re-posted 23 days ago


Job description

Job Summary:
The University of Chicago's Department of Medicine is searching for full-time faculty members to join the Center for Translational Data Science. The role focuses on leading research in translational data science and developing systems and algorithms to support this field.
Responsibilities:
• lead research focusing on translational data science
• development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science
• development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science
• teaching and supervision of trainees and students
• scholarly activity
Qualifications:
Required:
• Doctoral degree or equivalent in Biomedical Data Science, Computer Science, Data Science, Informational Technology, Biomedical Informatics, or a related field.
• Experience in translational data science.
• Experience in the development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science.
• Experience in the development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science.
• Ability to teach and supervise trainees and students.
• Engagement in scholarly activity.
Preferred:
• Research broadly focused in the areas of computer science, bioinformatics, data science, mathematics, information technology, genetics, genomics, and/or systems biology.
Company:
University of Chicago is a world-renowned, private research university located in Chicago. Founded in 1890, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.


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