2

Part Time Data Science Jobs in Washington, DC (NOW HIRING)

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

You Have: * Experience using data science programming languages such as Python, R, or SQL ... 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 ...

Data Scientist, Mid

Reston, VA · On-site +1

$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 ...

Data Scientist

Washington, DC · On-site +1

$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

Arlington, VA · On-site +1

$69K - $158K/yr

Your data science knowledge and advising expertise, coupled with an original approach to your work ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Washington, DC · On-site +1

$48K - $98K/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 ...

next page

Showing results 1-20

Part Time Data Science information

See Washington, DC salary details

$10

$50

$120

How much do part time data science jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for part time data science in Washington, DC is $50.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.52 and $74.85 per hour, depending on experience, location, and employer.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

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

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What are the most commonly searched types of Data Science jobs in Washington, DC?

The most popular types of Data Science jobs in Washington, DC are:

Infographic showing various Part Time Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 100% Part Time. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $104,804 per year, or $50.4 per hour.

Data Science Associate (Part-Time)

Arlington, VA • On-site, Remote

American Institutes for Research
Scientific Research and Development Services • 1 - 5K employees

$67K - $68K/yr

Full-time, Part-time

Posted 3 days ago

New


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.