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Remote Data Jobs in Virginia (NOW HIRING)

Bigbear.ai

Data Scientist

Mclean, VA ยท Remote

$142K - $228K/yr

This position is fully remote however travel in the DMV area will be expected. Responsibilities ... Partner with data engineering and application teams to productionize scoring logic (data inputs ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Springfield, VA ยท On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246180 Location: Springfield,VA,US Share job via: Share Data Scientist, Mid The Opportunity: Provide statistical and mathematical support to analyze and interpret a wide ...

SAIC

Data Scientist

Chantilly, VA ยท On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description ๏ปฟ SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

Bigbear.ai

Data Engineer

Mclean, VA ยท Remote

$142K - $190K/yr

This position is remote but will require travel in the DMV area. Responsibilities * Build source adapters/connectors to ingest data from APIs, legacy systems, databases, and event streams * Develop ...

NT Concepts

Data Scientist

Herndon, VA ยท On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and ...

Team Velocity

Senior Data Scientist

Herndon, VA ยท On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Mentor junior data scientists and establish best practices. Required Qualifications * Bachelor ...

Team Velocity

Senior Data Scientist

Herndon, VA ยท On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Mentor junior data scientists and establish best practices. Required Qualifications * Bachelor ...

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Showing results 41-60

All JobsData JobsRemote Data JobsRemote Data Jobs in Virginia

Remote Data information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do remote data jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

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

The most popular types of Data jobs in Virginia are:

What are popular job titles related to Remote Data jobs in Virginia?

For Remote Data jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data jobs in Virginia look for?

The top searched job categories for Remote Data jobs in Virginia are:

What cities in Virginia are hiring for Remote Data jobs?

Cities in Virginia with the most Remote Data job openings:

Remote Data jobs near you
Infographic showing various Remote Data job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Scientist

Bigbear.ai

Mclean, VA โ€ข Remote

$142K - $228K/yr

Full-time

Posted 7 days ago

Job description

Overview

The Data Scientist designs and builds the v1 rule-weighted composite scoring logic that turns normalized risk signals into a transparent, defensible score. This role also prepares the scoring approach and model architecture for future interpretable ML-based scoring—ensuring explainability is preserved for adjudicator-facing workflows and audit needs. The ideal candidate blends practical applied data science with strong judgment around interpretability, traceability, and operational usability.

This position is fully remote however travel in the DMV area will be expected.


Responsibilities

  • Build and tune v1 rule-weighted composite scoring logic using normalized inputs from the common risk-signal schema.
  • Define scoring framework components (feature groupings, weights, thresholds, guardrails, and handling of missing/partial data).
  • Create interpretable explanations for scores and drivers suitable for adjudicator review (reason codes, key contributing signals, and traceable logic).
  • Design the scoring architecture to support evolution from rules/weights to interpretable ML models while maintaining auditability.
  • Prototype and evaluate interpretable model classes and explanation methods (e.g., SHAP-based explanations, constrained/monotonic models where appropriate, and rule-based hybrids).
  • Partner with data engineering and application teams to productionize scoring logic (data inputs, contracts, output formats, and performance expectations).
  • Establish validation and monitoring approaches (basic model/score QA, drift indicators, and score distribution checks).
  • Document scoring methodology, assumptions, and limitations for stakeholder understanding and accreditation/compliance artifacts as needed.

Qualifications

  • Clearance: Must maintain an active TS/SCI security clearance
  • Bachelor's Degree and 8 to 10 years of experience; Master's Degree and 6 to 8 years of experience; PhD and 3 to 5 years of experience (in lieu of Bachelor’s degree, 6 additional years of relevant experience)
  • 3–5 years of applied data science experience delivering scoring, ranking, or decision-support models.
  • Experience implementing interpretable approaches (rule-based systems, transparent composite scores, and/or explainability methods such as SHAP).
  • Strong Python skills, including scikit-learn and common data science workflows.
  • Hands-on experience with SQL for data analysis, feature development, and validation.
  • Ability to communicate scoring logic clearly to technical and non-technical stakeholders (including explaining tradeoffs between accuracy and interpretability).
  • Familiarity with adjudicative, compliance, fraud/risk, or other risk-scoring domains (preferred/bonus).
  • IC/DoD experience