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Part Time Data Science Mentor Jobs in Virginia (NOW HIRING)

Data Scientist, Mid

Reston, VA · 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 ...

Data Scientist, Mid

Reston, VA · 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 ...

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

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

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

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Science Mentor information

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.

What are the most commonly searched types of Data Science Mentor jobs in Virginia?

The most popular types of Data Science Mentor jobs in Virginia are:

What cities in Virginia are hiring for Part Time Data Science Mentor jobs?

Cities in Virginia with the most Part Time Data Science Mentor job openings:

Infographic showing various Part Time Data Science Mentor job openings in Virginia as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Data Science Associate (Part-Time)

American Institutes for Research

Arlington, VA • On-site, Remote

$67K - $68K/yr

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.


Job description

AIR's Tek Office is seeking a part-time Data Science Associate to join its forward-thinking and innovative team of data scientists and software engineers. Our team works on innovative projects that advance our organization and partners with clients to deliver innovative data collection, communication, learning, user experience, and data-driven solutions across web, mobile, analytics, and data management platforms. Data scientists at AIR use a blend of technology skills and theory to contribute to cutting-edge research design, implementation, and capacity building.

Engagements are typically project-based, part-time, and may vary in duration and hours depending on project needs.

This remote position requires flexibility to work from AIR's Crystal City office. This part-time position is expected to run from September 2026 through May 2027.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The key responsibilities for the position include, but are not limited to

  • Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools. 
  • Develop visualizations, dashboards, and reports using open-source and/or business intelligence tools. 
  • Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques. 
  • Assist with computer modeling and simple to moderately complex forecasting using standard software packages. 
  • Contribute to quantitative and/or qualitative analysis using standard techniques and methods. Work independently and collaboratively on moderately complex assignments under indirect supervision. 
  • Create replicable, well-documented code in a shared environment. 
  • Coordinate project support needs and requests from senior management and clients. 
  • Develop systems to maintain and verify the accuracy of data for assigned projects. 
  • Utilize external resources to supplement, organize, and contribute to tasks and projects. 
  • Present and occasionally support or organize content for internal and external meetings. 
  • Stay current on emerging technologies and provide recommendations for research applications. 
  • Review and optimize code written by others. 
  • Provide innovative and appropriate solutions to complex problems.
  • The scope of responsibilities may be modified as business needs evolve.

Qualifications:

Education, Knowledge, and Experience

  • Master's degree in computer science-related fields (e.g., Data Science, Data Engineering, Computer Science) and enrolled in a PhD program.
  • Experience with cloud platforms including AWS, GCP, and Azure; hands-on exposure to Azure OpenAI API is preferred, but not required. 

Skills

  • Solution-oriented mindset with the ability to apply creative problem-solving techniques.
  • Strong communicator with the ability to engage effectively across all organizational levels and diverse backgrounds, including virtual environments, and to convey complex technical concepts clearly and accurately in plain language. 
  • Collaborative team player, able to work effectively in cross-functional teams and contribute to shared goals in a virtual environment. 
  • Flexible and adaptable, comfortable working in dynamic environments and adjusting to changing priorities. 
  • Proficient with database technologies such as MySQL and MS SQL Server. 
  • Familiarity with generative AI tools and applications for practical use cases. 
  • Knowledge of Python web frameworks (e.g., Django, Flask) is advantageous. 
  • Interest in exploring and developing innovative tools for data-driven applications. 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer:

AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams at ftc.gov/scams.