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Part Time Data Science Mentor Jobs (NOW HIRING)

Weekday AI

Data Science & Quantitative Analysis Expert

$60 - $90/hr

We are seeking experienced Data Scientists and Quantitative Analysts to bring real-world analytical ... Experience reviewing analytical work, mentoring analysts, or contributing to research publications.

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll ... TS/SCI clearance * Master's degree in Data Science, AI, CS, or Statistics and 8+ years of ...

Walmart

Distinguished, Data Scientist

Bellevue, WA

Lead and mentor domain data science teams to deliver ML products on time. * Collaborate cross ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

Lead and mentor domain data science teams to deliver ML products on time. * Collaborate cross ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

John Deere

Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Urbandale, IA or Austin, TX - 122125 Onsite/Remote: Onsite Position Note: Relocation assistance is not provided. The ...

John Deere

Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Urbandale, IA or Austin, TX - 122125 Onsite/Remote: Onsite Position Note: Relocation assistance is not provided. The ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/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: * 8+ years ...

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Aurora, CO · On-site +1

$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: * 12+ years ...

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Part Time Data Science Mentor information

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$37.5K

$122.7K

$196.5K

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

As of Sep 12, 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.

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.

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.

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 are popular job titles related to Part Time Data Science Mentor jobs?

For Part Time Data Science Mentor jobs, the most frequently searched job titles 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science & Quantitative Analysis Expert

Remote

Weekday AI
Human Resources Consulting Services • 11 - 50 employees
Learn more about Weekday AIexternal

$60 - $90/hr

Part-time

Re-posted 16 days ago

Job description

This role is for one of our clients
Compensation: $60-$90 per hour
Join a pioneering AI initiative focused on developing the next generation of evaluation benchmarks for frontier AI models. We are seeking experienced Data Scientists and Quantitative Analysts to bring real-world analytical rigor to AI evaluation by designing sophisticated benchmark tasks based on practical data science workflows.
In this role, you will create complex, multi-step analytical challenges that mirror real research and business scenarios-from cleaning datasets and comparing statistical methods to interpreting results and presenting actionable insights. Working closely with AI researchers, you'll help identify where advanced AI models succeed, where they fail, and how evaluation benchmarks can better measure analytical reasoning.
This is a fully remote, full-time engagement requiring approximately 35 hours per week.
Requirements
Key Responsibilities
  • Design realistic data analysis challenges inspired by real-world research and analytical workflows, including data preparation, statistical modeling, hypothesis testing, and comparative analysis.
  • Develop reproducible reference analyses using Jupyter Notebooks or Google Colab, documenting methodologies and findings with clarity.
  • Create benchmark tasks that require objective comparisons between analytical techniques, supported by statistical validation and evidence-based recommendations.
  • Evaluate AI-generated analyses for correctness, statistical validity, reasoning quality, and interpretation accuracy.
  • Identify analytical errors, flawed assumptions, and reasoning gaps that experienced data professionals would immediately recognize.
  • Collaborate with AI researchers and fellow subject matter experts to improve benchmark quality, consistency, and analytical rigor.
Required Qualifications
  • Master's degree, PhD, or equivalent practical experience in Data Science, Statistics, Mathematics, Economics, Operations Research, or another quantitative STEM discipline.
  • Minimum 1 year of professional experience in research, research engineering, quantitative analysis, data science, or another data-intensive analytical role.
  • Strong hands-on experience with data cleaning, exploratory data analysis, statistical testing, correlation analysis, predictive modeling, and interpretation of analytical results.
  • Proficiency with Jupyter Notebooks or Google Colab for building reproducible analytical workflows.
  • Strong programming skills in Python, including experience with libraries such as pandas, NumPy, SciPy, scikit-learn, or similar analytical frameworks.
  • Working knowledge of Git and collaborative software development practices.
  • Excellent written communication skills with the ability to present analytical findings clearly to both technical and non-technical audiences.
  • Experience with AI evaluation, benchmark development, AI model assessment, or task authoring is preferred.
  • Exceptional analytical thinking, creativity, attention to detail, and the ability to solve complex, open-ended problems independently.
  • Ability to commit approximately 35 hours per week on a consistent basis.
Preferred Qualifications
  • Experience designing reproducible research workflows or analytical evaluation frameworks.
  • Familiarity with machine learning, large language models, or AI-assisted data analysis.
  • Background in benchmark design, statistical modeling, or quantitative research methodology.
  • Experience reviewing analytical work, mentoring analysts, or contributing to research publications.
Why Join
  • Help shape the future of AI by improving how advanced models are evaluated on real-world analytical reasoning.
  • Collaborate with leading AI researchers developing frontier evaluation benchmarks.
  • Apply your expertise in statistics and data science to advance AI reliability and decision-making capabilities.
  • Contribute directly to benchmark development that influences the evolution of next-generation AI systems.
  • Enjoy the flexibility of a fully remote engagement while working on impactful AI research initiatives.
Equal Opportunity
We are committed to fostering an inclusive and diverse environment where all qualified applicants receive equal consideration. Reasonable accommodations are available throughout the application and engagement process.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Expected commitment of approximately 35 hours per week.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.

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