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Part Time Data Science Mentor Jobs in Chicago, IL

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Adjunct Faculty in Data Science Full-time Faculty Positions Full-time faculty positions will be ... Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ...

Bank of Montreal

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

BMO Capital Markets

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

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All JobsData Science Mentor JobsPart Time Data Science Mentor JobsPart Time Data Science Mentor Jobs in Chicago, IL

Part Time Data Science Mentor information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

How much do part time data science mentor jobs pay per year?

As of Aug 9, 2026, the average yearly pay for part time data science mentor 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.

How does a part time data science mentor typically structure sessions to effectively support mentees with varying experience levels?

As a Part Time Data Science Mentor, sessions are often tailored to the unique needs and skill levels of each mentee. Mentors usually begin by assessing the mentee’s current knowledge, then set personalized goals and provide targeted guidance—ranging from foundational concepts to advanced problem-solving. Sessions may include code reviews, project feedback, and discussion of industry best practices. Collaboration tools and shared resources are commonly used, and mentors coordinate with other instructors or mentors to ensure consistent support. This flexible approach helps mentees progress at their own pace while still receiving structured, actionable feedback.

What are the key skills and qualifications needed to thrive as a part time data science mentor, and why are they important?

To thrive as a Part Time Data Science Mentor, you need a solid background in data science, statistics, and programming, usually demonstrated by advanced degrees or industry experience. Familiarity with tools like Python, R, Jupyter Notebooks, and knowledge of platforms such as GitHub and online learning management systems is typical. Excellent communication, patience, and the ability to give constructive feedback help mentors guide and inspire learners effectively. These skills ensure that mentors can clearly explain complex concepts, support student growth, and adapt to diverse learning needs.

What is the difference between Part Time Data Science Mentor vs Data Science Tutor?

AspectPart Time Data Science MentorData Science Tutor
CredentialsRelevant data science experience, certifications (e.g., certifications, degrees)Similar credentials, often with teaching or tutoring experience
Work EnvironmentFlexible, project-based, often remoteOne-on-one or small group sessions, often remote or in-person
Employer & IndustryEducational platforms, online mentoring programs, tech companiesOnline tutoring platforms, private clients, educational institutions
Search & Comparison IntentLooking for mentorship, industry insights, career guidanceSeeking help with specific data science problems or coursework

While both roles involve teaching data science skills, a Part Time Data Science Mentor typically provides broader career guidance and industry insights, whereas a Data Science Tutor focuses on helping students or learners understand specific concepts or complete assignments. The roles often overlap but differ mainly in scope and depth of mentorship versus targeted tutoring.

What is a part time data science mentor?

Part time data science mentors are experienced professionals who provide guidance, support, and feedback to students or early-career professionals pursuing data science. They typically work on a flexible schedule, helping mentees with skills development, project work, and career advice. Their role is not only to teach technical concepts but also to share industry insights and best practices, often through online platforms or educational programs.
What are the most commonly searched types of Data Science Mentor jobs in Chicago, IL? The most popular types of Data Science Mentor jobs in Chicago, IL are:
What are popular job titles related to Part Time Data Science Mentor jobs in Chicago, IL? For Part Time Data Science Mentor jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science Mentor jobs in Chicago, IL look for? The top searched job categories for Part Time Data Science Mentor jobs in Chicago, IL are:
Part Time Data Science Mentor jobs near you
Infographic showing various Part Time Data Science Mentor job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,438 per year, or $60.8 per hour.

Research Data Scientist

Rosalind Franklin University of Medicine & Science

North Chicago, IL • On-site

$45 - $55/hr

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Job description

Compensation Range: $45-55/hour, depending on skills and qualifications.


Position Summary

A part time data science position is available in the laboratory of Dr. Nicole Ferrara in the Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Rosalind Franklin University of Medicine and Science. The focus of the lab is social fear memory with particular emphasis on interactions between the environment, fear, and social behaviors and how they impact neural circuits during development. This position is expected to last 3 months to a year, depending on the candidate’s availability and the needs of the lab. We anticipate this position to work 20 to 30hrs per week.

The Ferrara lab records neural activity in vivo via fiber photometry and syncs brain recordings to behavior. We are looking for candidates who can establish a strong fiber photometry-behavior analysis pipeline and train lab members to implement.

Our generous benefits package includes medical, dental, and vision plans; paid parental leave; flexible spending accounts; and a 403(b) retirement plan which includes an 8% employer contribution after two years of service. RFUMS is committed to employee well-being and work-life balance. Part-time staff who work at least 18.5 hours a week are eligible for up to 15 prorated days of vacation / personal leave, 15 pro-rated sick days, and 9 holidays (if regularly scheduled to work on a University holiday), winter break, plus 2 floating holidays.


Who We Are

Rosalind Franklin University of Medicine and Science (RFU) is a graduate health sciences university committed to serving the population through the interprofessional education of health and biomedical professionals and the discovery of knowledge dedicated to improving wellness. The university embodies the spirit of inquiry and excellence modeled by its namesake Dr. Rosalind Franklin, whose Photo 51 was crucial to solving the structure of DNA. RFU is nationally recognized for its research in areas including neuroscience, brain-related diseases, inherited disorders, proteomics, cancer cell biology and immunology, cardiac resuscitation, and gait and balance.


Essential Duties & Responsibilities

  • Establishing a pipeline for fiber photometry and behavior analysis.
  • Presenting new findings and techniques at weekly lab meetings.
  • Training lab members on fiber photometry and behavioral analysis, data visualization, and data interpretation.


Conditions of Employment

  • Must achieve satisfactory results from a background check.


Required Education & Experience

  • Candidates must have a PhD with a strong background in neuroscience.


Required Knowledge, Skills, & Abilities

  • Extensive experience with one or more programming languages (i.e., MatLab, R, etc.).
  • Experience with behavioral modeling (i.e., DeepLabCut, SLEAP, etc.).
  • Experience with training and teaching.


Preferred Qualification

  • Evidence of scholarly productivity through presentations and publications.


Typical Physical Demands & Working Conditions

  • Selected candidate must have the mental and physical capabilities to perform the essential functions of the position with or without reasonable accommodations.


EOE, Including Disability / Vets