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Part Time Data Science Mentor Jobs (NOW HIRING)

The Midtown Group

Be Seen First

Part-Time Data Analyst

Arlington, VA · On-site

$65/hr

Provide guidance and mentoring to team members regarding data quality, data access, storage ... Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, or a ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI · On-site

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Lead and mentor a team of data scientists by example. Provide technical guidance, set performance ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI · On-site

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Lead and mentor a team of data scientists by example. Provide technical guidance, set performance ...

Athena LLC

Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your ...

Athenago

Data Science Intern

Wilmington, DE

Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

UH Hilo, Hilo, HI Job Type: Part-Time Temporary Job Number: 2026-01086 Department: University of ... Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ...

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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 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 Data Analyst

Part-Time Data Analyst

The Midtown Group

Arlington, VA • On-site

$65/hr

Part-time

Medical, Dental

Posted 12 days ago

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Job description

We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing, maintaining, and enhancing enterprise data analytics, reporting, and business intelligence solutions. The ideal candidate will possess strong technical expertise in data analysis, data engineering, visualization, and cloud-based analytics platforms while effectively collaborating with business stakeholders and technical teams to deliver actionable insights and innovative solutions.  This role with be 10-20 hours/week and require occasional on-site meetings.
This role requires a highly skilled professional who can translate complex business requirements into technical solutions, develop advanced analytics products, and support enterprise data initiatives utilizing modern cloud and business intelligence technologies.
Key Responsibilities

  • Design, develop, and maintain data analytics solutions, dashboards, reports, and visualizations using industry-standard tools and technologies.
  • Utilize programming languages including SQL, Python, R, and JavaScript to develop datasets, automate processes, and support analytical initiatives.
  • Develop and maintain business intelligence solutions using Microsoft Power Platform technologies, including Power BI, Power Apps, and Power Automate.
  • Create and maintain DAX and Power Query (M) code for data transformation, modeling, and reporting.
  • Collaborate with agency stakeholders to identify business and technical requirements and translate them into technical designs and implementation plans.
  • Engineer data solutions through prototyping, proof-of-concept development, testing, and full production implementation.
  • Analyze and support Extraction, Transformation, and Load (ETL) processes and data integration strategies.
  • Support cloud-based analytics environments utilizing AWS or Azure services, including Databricks, Data Factory, and Data Lake technologies.
  • Serve as a liaison between business users, database administrators, and IT support teams to facilitate effective communication and solution delivery.
  • Troubleshoot and support existing applications, reports, dashboards, and data environments.
  • Review, analyze, modify, test, debug, and document existing code, reports, and analytical products.
  • Evaluate and document data security, continuity of operations, and compliance requirements for analytical systems.
  • Ensure compatibility between software, hardware, and data environments while supporting system design reviews and technical briefings.
  • Develop comprehensive technical documentation, including requirements, methodologies, data sources, business rules, and deployment procedures.
  • Provide guidance and mentoring to team members regarding data quality, data access, storage, analytics tools, and best practices.
  • Assist with training initiatives, workshops, and presentations for both technical and non-technical audiences.
  • Support data governance, data warehousing, relational database management, and data quality initiatives.
  • Ensure adherence to software development lifecycle (SDLC) processes, quality standards, and security guidelines.


Required Qualifications

  • US Citizenship Required
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related technical field.
  • Minimum of 7 years of experience developing solutions using SQL, Python, R, JavaScript, or comparable programming languages.
  • Minimum of 3 years of experience working with Microsoft Power Platform technologies, including Power BI, Power Apps, and Power Automate.
  • Minimum of 1 year of experience working with cloud analytics services such as AWS or Azure, including Databricks, Data Factory, and Data Lake solutions.
  • Demonstrated experience developing analytical models, dashboards, reports, and business intelligence solutions that drive measurable business outcomes.
  • Advanced proficiency in SQL and relational database technologies.
  • Strong experience with ETL development, data integration, and data transformation methodologies.
  • Expertise in DAX, Power Query (M), and business intelligence reporting frameworks.
  • Experience with data warehousing, data governance, data quality, and data management best practices.
  • Knowledge of ODBC connection strings and external data source connectivity protocols.
  • Experience working with both structured and unstructured data sources.
  • Familiarity with cloud-based analytics and data engineering platforms.
  • Strong understanding of software development lifecycle methodologies and quality assurance processes.


The Midtown Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are a small, woman-owned business certified by the Women’s Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.

Company Description

The client's infrastructure has plenty of areas in professional growth!