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Part Time Remote Data Science Jobs in Ashburn, VA

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247048 Location: Washington,DC,US Share job via: Share Data Scientist ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer ... You Have: * 4+ years of experience with major data science languages such as Python and R * 4+ ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with data engineering projects supporting data science, AI/ML implementations, and ...

Data Engineer, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247241 Location: Washington,DC,US Share job via: Share Data Engineer ... You Have: * 2+ years of experience with major data science languages such as Python and R * 2+ ...

Bachelor's degree in Information Security, Computer Science, Information Technology, or a related field. * Minimum of 5 years of experience in information security management, with a focus on ISO ...

AI/ML Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245425 Location: Chantilly,VA,US Share job via: Share AI/ML Engineer ... Data scientists and intelligence analysts rely on multi-step workflows that are time-sensitive ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Showing results 41-60

Part Time Remote Data Science information

See Ashburn, VA salary details

$38.3K

$125.5K

$200.9K

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

As of Aug 23, 2026, the average yearly pay for part time remote data science in Ashburn, VA is $125,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

What are the key skills and qualifications needed to thrive as a part time remote data scientist?

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.

How do part time remote data scientists typically collaborate with full time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in remote roles where flexible schedules are common. Part-time positions may require proficiency in tools like Python or R and often involve project-based or consulting work, making them suitable for individuals seeking flexible employment arrangements.

What are the most commonly searched types of Remote Data Science jobs in Ashburn, VA?

The most popular types of Remote Data Science jobs in Ashburn, VA are:

What are popular job titles related to Part Time Remote Data Science jobs in Ashburn, VA?

For Part Time Remote Data Science jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Science jobs in Ashburn, VA look for?

The top searched job categories for Part Time Remote Data Science jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Part Time Remote Data Science jobs?

Cities near Ashburn, VA with the most Part Time Remote Data Science job openings:

Infographic showing various Part Time Remote Data Science job openings in Ashburn, VA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $125,513 per year, or $60.3 per hour.

Data Engineer

Booz Allen Hamilton, Inc.

Arlington, VA • On-site, Remote

$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0241523
Location:
Arlington,VA,US
Share job via:
Share
Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 2+ years of experience utilizing programming languages, including Python
  • Experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
  • Experience with developing scalable data pipelines or ETL/ELT workflows for reporting and analytics
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or machine learning service
  • Experience creating software for retrieving, parsing and processing structured and unstructured data
  • Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
  • Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation
  • Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders
  • Experience developing and deploying large-scale batch and stream analytics pipelines
  • Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers
  • Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field
  • Cloud Development Certification such as AWS Solutions Architect or Azure Certification
  • Information Security Certification such as Security+ or CISSP Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914