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Part Time Data Scientist Risk Jobs in Chicago, IL

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction ...

Analyze financial data, prepare reports, and present insights to leadership to support business ... Review high-risk or potentially fraudulent order activity and take appropriate action. Minimum ...

Analyze financial data, prepare reports, and present insights to leadership to support business ... Review high-risk or potentially fraudulent order activity and take appropriate action. Minimum ...

Analyze financial data, prepare reports, and present insights to leadership to support business ... Review high-risk or potentially fraudulent order activity and take appropriate action. Minimum ...

Analyze financial data, prepare reports, and present insights to leadership to support business ... Review high-risk or potentially fraudulent order activity and take appropriate action. Minimum ...

Analyze financial data, prepare reports, and present insights to leadership to support business ... Review high-risk or potentially fraudulent order activity and take appropriate action. Minimum ...

Analyze financial data, prepare reports, and present insights to leadership to support business ... Review high-risk or potentially fraudulent order activity and take appropriate action. Minimum ...

Analyze financial data, prepare reports, and present insights to leadership to support business ... Review high-risk or potentially fraudulent order activity and take appropriate action. Minimum ...

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Part Time Data Scientist Risk information

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$38.6K

$126.4K

$202.4K

How much do part time data scientist risk jobs pay per year?

As of May 29, 2026, the average yearly pay for part time data scientist risk 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 are the key skills and qualifications needed to thrive as a Part Time Data Scientist in Risk, and why are they important?

To thrive as a Part Time Data Scientist in Risk, you typically need expertise in statistics, data analysis, and programming languages like Python or R, along with a background in mathematics, statistics, or a related field. Familiarity with risk modeling tools, machine learning frameworks, and data visualization platforms such as SQL, TensorFlow, or Tableau is important. Strong problem-solving abilities, attention to detail, and clear communication help you translate complex data into actionable risk insights. These skills ensure accurate risk assessment and enable informed decision-making in dynamic business environments.

What are some unique challenges faced by part-time data scientists working in risk management roles?

Part-time data scientists in risk management often navigate challenges such as balancing workload within limited hours and ensuring timely delivery of critical analyses. Due to the high-stakes nature of risk assessment, they must prioritize tasks efficiently and maintain clear communication with full-time colleagues to stay aligned on evolving project needs. Additionally, they may need to quickly adapt to new data sources or regulatory requirements, making strong organizational skills and proactive learning essential. Collaboration with cross-functional teams, like compliance and engineering, is also key to ensuring comprehensive risk solutions.

What does a Part Time Data Scientist in Risk do?

A Part Time Data Scientist in Risk analyzes data to help organizations identify, assess, and mitigate potential risks. They use statistical models, machine learning, and data visualization to uncover patterns that may signal financial, operational, or cybersecurity risks. Working part time, they may focus on specific projects such as fraud detection, credit scoring, or compliance monitoring. They collaborate with other teams to develop actionable insights and often create reports or dashboards to communicate their findings.
What are the most commonly searched types of Data Scientist Risk jobs in Chicago, IL? The most popular types of Data Scientist Risk jobs in Chicago, IL are:
What are popular job titles related to Part Time Data Scientist Risk jobs in Chicago, IL? For Part Time Data Scientist Risk jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist Risk jobs in Chicago, IL look for? The top searched job categories for Part Time Data Scientist Risk jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Part Time Data Scientist Risk jobs? Cities near Chicago, IL with the most Part Time Data Scientist Risk job openings:
Adjunct Instructor of Computer Science and Engineering

Adjunct Instructor of Computer Science and Engineering

North Central College

Naperville, IL

Part-time

Posted 19 days ago


Job description

Position Information
Posting Number F000322 Position Title Adjunct Instructor of Computer Science and Engineering Department COMPUTER SCIENCE Division College of Arts & Sciences Faculty Status Per Course Part-time Faculty Supervisor Title Chair Computer Science Status Per Course Part-time Faculty Tenure Track No Salary Range Position Summary
The Department of Computer Science and Engineering in the College of Arts and Sciences at North Central College invites applications for adjunct faculty positions to teach the following courses:
  • Object-oriented Programming (C++) 
  • Introduction to Programming (Python) 
  • Computer and Network Security 
  • Intro to Website Development (HTML & CSS) 

We are looking for instructors interested in teaching any of the following courses on an on-going basis:
  • Object-oriented programming (C++)
  • Data structures (taught in Java)
  • Intro to computer programming (Python)
  • Computer architecture / assembly programming
  • Discrete math
  • Database systems design / programming
  • Data mining / machine learning
  • Mobile app development
  • Linux programming
  • Web programming
  • MS Excel and intro to data analysis
  • Intro to Website Development (HTML & CSS)

Candidates with a master's degree or significant industry experience in computing will be considered, and college-level teaching experience is preferred.
Founded in 1861, North Central College is a nationally recognized institution of about 3000 students, located in Naperville, IL, a thriving suburb just west of Chicago. The College is in a period of growth with the addition of a $60 million Science Center (2017), and a new Health Sciences and Engineering building (2020). North Central College is within walking distance of the Naperville Metra station and is next to downtown Naperville. The Naperville area is home to many excellent school districts and Naperville, IL has been ranked as one of the best places to live by Money magazine. For more information, please visit: http://www.noctrl.edu. North Central College is an EEO Employer.
Interested candidates should complete the application at:
https://www.northcentralcollege.edu/academic-affairs/prospective-and-incoming-faculty. You will be asked to submit a cover letter and a curriculum vitae.
For further information, please email Dr. Sun-il Kim, Chair, Department of Computer Science and Engineering at skim@noctrl.edu.
Review of applications will begin immediately and continue until the position is filled.
Employment Conditions
An offer of employment is contingent upon successful completion of the College's background screening process.
Number of Vacancies Multiple
Posting Detail Information
EEO Statement
North Central College is an Equal Opportunity Employer. NCC provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application or hiring process, please notify the Office of Human Resources at 630-637-5757 or humanresources@hr.noctrl.edu
Determinations for reasonable accommodation will be made on a case-by-case basis.
Close Date Open Until Filled Yes Additional Information