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Data Science Remote Internship Jobs in Evanston, IL

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

... data science to impactful problems in biology, medicine, healthcare, and the environment. We ... Provide technical mentorship to interns and onboarding staff and technical leadership in technical ...

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

While we are a remote-first company, we are currently only able to hire candidates located in the ... Bachelor's or Master's degree in Computer Science, Engineering, Data Systems, or a related ...

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

While we are a remote-first company, we are currently only able to hire candidates located in the ... Bachelor's or Master's degree in Computer Science, Engineering, Data Systems, or a related ...

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

This role will work cross-functionally with various data science teams, data engineering teams, and ... remote position. Application Deadline This position is anticipated to close on Jul 31, 2026. About ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Experience presenting data or project findings (in classrooms, internships, or past roles) with ... Hybrid and Remote work schedules available * Employee Assistance Program (unlimited free telephonic ...

Corporate Counsel (Remote)

Chicago, IL · On-site +1

$15K - $200K/yr

Remote or Hybrid in Chicago Key Responsibilities * Your primary focus will be assisting with ... commercial organizations, data science, medical affairs, product & engineering, finance ...

Corporate Counsel (Remote)

Chicago, IL · On-site +1

$15K - $200K/yr

Remote or Hybrid in Chicago Key Responsibilities * Your primary focus will be assisting with ... commercial organizations, data science, medical affairs, product & engineering, finance ...

Corporate Counsel (Remote)

Chicago, IL · On-site +1

$15K - $200K/yr

Remote or Hybrid in Chicago Key Responsibilities * Your primary focus will be assisting with ... commercial organizations, data science, medical affairs, product & engineering, finance ...

Corporate Counsel (Remote)

Chicago, IL · On-site +1

$15K - $200K/yr

Remote or Hybrid in Chicago Key Responsibilities * Your primary focus will be assisting with ... commercial organizations, data science, medical affairs, product & engineering, finance ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

Showing results 41-60

Data Science Remote Internship information

See Evanston, IL salary details

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How much do data science remote internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data science remote internship in Evanston, IL is $21.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.51 per hour, depending on experience, location, and employer.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

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

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

What is the difference between Data Science Remote Internship vs Data Analyst Remote Internship?

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What are popular job titles related to Data Science Remote Internship jobs in Evanston, IL?

For Data Science Remote Internship jobs in Evanston, IL, the most frequently searched job titles are:

What job categories do people searching Data Science Remote Internship jobs in Evanston, IL look for?

The top searched job categories for Data Science Remote Internship jobs in Evanston, IL are:

What cities near Evanston, IL are hiring for Data Science Remote Internship jobs?

Cities near Evanston, IL with the most Data Science Remote Internship job openings:

Senior Platform Engineer

The University of Chicago

Chicago, IL • On-site, Remote

$107K - $147K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

168th of 622 rated colleges and universities


Job description

Department
BSD CTD - Platform Engineering - PlanX
About the Department
The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https://stats.gen3.org/, and https://ctds.uchicago.edu/.
Job Summary
The job performs a variety of activities relating to software support and/or development. Provides analysis, design, development, debugging, and modification of computer code for end user applications, beta general releases, web pages, and production support. Troubleshoots problems using existing procedures to find a possible solution.
The Senior Platform Engineer provides production support, production monitoring, CI/CD design & implementation, & security automation across the open-source software platforms CTDS develops and operates for translational data science. Production support includes triaging, researching, communicating, and addressing production incidents. For monitoring, the engineer will wrangle disparate system monitoring assets and develop common analytics to inform optimization, define benchmarks and confidence intervals, and to forecast, proactively mitigating production incidents. CI/CD pipelines are for hybrid cloud architecture on-premises and in commercial cloud providers like Amazon, Google, and Microsoft.
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Responsibilities
  • Responsible for technical tasks and timely delivery of such tasks, meeting the required level of quality.
  • Participation in complex and challenging activities, including design and implementation.
  • Provide support and maintenance for existing applications.
  • Provide technical mentorship to interns and onboarding staff and technical leadership in technical initiatives.
  • Actively participate in the hiring process and provide fair and productive interview feedback.
  • Elaborate on technical solutions internally and externally when required.
  • Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
  • Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
  • Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.
  • Supports and maintains existing applications. Works with web developers and responds to requests from users.
  • 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
Education:
  • Advanced degree in computer science, mathematics, statistics, engineering, or a relevant quantitative field strongly preferred.

Experience
  • 3+ years experience developing infrastructure, configuration and/or deployment automation or demonstrated skills and qualifications through projects, initiatives, or outstanding performance.
  • Hands-on scripting experience (Bash, Python, or other dynamic language).
  • Unix/Linux programming or system administration experience.
  • Experience with OpenStack and AWS p(EC2/S3) cloud technologies.
  • Experience with configuration management utility (Chef, Puppet, Ansible).
  • Experience with F5 or other load balancing technologies (Nginx, AWS ELB/ALB, etc.).
  • Experience with source control and build systems (SVN, Git, Jenkins, etc.).
  • Experience with container based deployment (Docker, Kubernetes).
  • Experience with log aggregation tools (ELK stack, Splunk).
  • Experience with security frameworks (FISMA, NIST, FIPS).
  • Experience with cloud platforms (AWS, GCP, Openstack), CI/CD, and Agile methodologies.
  • Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU systems) in cloud and/or on-prem environments.
  • Familiarity with GPU orchestration in Kubernetes (e.g., NVIDIA device plugin, GPU scheduling, MIG, node affinity).
  • Experience optimizing GPU utilization, memory management, and cost efficiency for compute-intensive workloads.

Preferred Competencies
  • Ability to collaborate and interact effectively with team members, following guidelines and best practices and ensuring accountability for deliverables and outcomes.
  • Ability to take and provide constructive and helpful input and feedback on technical issues.
  • Ability to elaborate on technical solutions internally and externally when required.
  • In-depth knowledge in core areas of DevOps technologies, including scripting languages, deployment/configuration frameworks, and/or cloud platforms, or having demonstrated the ability to achieve that level of proficiency in a short period of time.
  • Ability to take multiple complex tasks and break them into smaller ones, estimating the effort needed to complete them, prioritizing them appropriately, and ensuring the completion of each task, meeting the required level of quality.
  • Ability to work in a collaborative team and ensure accountability for deliverables and outcomes.
  • Ability to prioritize and manage workload to meet project milestones and deadlines.

Working Conditions
  • Office environment.

Application Documents
  • Resume (required)
  • Cover Letter (preferred)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Information Technology
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$80,000.00 - $120,000.00
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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