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Part Time Data Science Mentor Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$112K - $257K/yr

You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll ... Work with us as we use data science for good. Join us. The world can't wait. You Have: * 5+ years ...

Rutgers University

$2.7K/wk

Position Information Recruitment/Posting Title Lecturers, Data Science Department Mathematics ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... Position Status Part Time Posting Number 26FA0415 Posting Open Date Posting Close Date ...

Booz Allen Hamilton, Inc.

Data Scientist

Liberty, NC · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsPart Time Data Science Mentor Jobs

Part Time Data Science Mentor information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jun 20, 2026, the average yearly pay for part time data science mentor in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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 are part time data science mentors?

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.
More about Part Time Data Science Mentor jobs
What cities are hiring for Part Time Data Science Mentor jobs? Cities with the most Part Time Data Science Mentor job openings:
What are the most commonly searched types of Data Science Mentor jobs? The most popular types of Data Science Mentor jobs are:
What states have the most Part Time Data Science Mentor jobs? States with the most job openings for Part Time Data Science Mentor jobs include:
What job categories do people searching Part Time Data Science Mentor jobs look for? The top searched job categories for Part Time Data Science Mentor jobs are:
Part Time Data Science Mentor jobs near you
Infographic showing various Part Time Data Science Mentor job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO

Part-time

Posted 14 days ago

Saint Louis University rating

8.7

Company rating: 8.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

41st of 538 rated colleges and universities

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine

Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine

Position Summary

The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professorpositions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.

Primary Responsibilities

Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:

  • Privacy, Ethics, Regulation & Policy

  • Introduction to Artificial Intelligence

  • Predictive Modeling and Machine Learning

  • Image Processing and Deep Learning

  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models

  • Reinforcement Learning for Clinical Decision Making

  • Telehealth & Telemedicine

  • AI for Precision Medicine & Genomics & Diagnostics

  • Research in Medicine

Additional responsibilities include:

  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications

Required:

  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.

  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.

  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).

  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:

  • Experience teaching graduate courses in AI, data science, or health informatics.

  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.

  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.

  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details

  • Type:Adjunct, non-tenure track

  • Rank:Assistant or Associate Professor (commensurate with qualifications)

  • Location:Saint Louis University School of Medicine (in-person, hybrid, or online options available)

  • Start Date:Ongoing recruitment for upcoming academic terms

Application Instructions

Interested applicants should submit:

  • A cover letter outlining teaching interests and relevant experience

  • Curriculum vitae (CV)

  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.

Function

Faculty - Adjunct

Scheduled Weekly Hours:

20

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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