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Remote Data Scientist Jobs in Virginia (NOW HIRING)

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP ...

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building ...

Data Scientist

Suffolk, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245322 Location: Suffolk,VA,US Share job via: Share Data Scientist The Opportunity: Design and implement effective AI solution architecture utilizing approaches of ...

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building ...

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0243682 Location: Chantilly,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Using your skills as a Data Scientist , you will organize and interpret data to inform U.S ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Responsibilities Using your skills as a Data Scientist , you will organize and interpret data to ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Data Scientist

Mclean, VA · On-site +1

$69K - $158K/yr

Remote Work: Yes Job Number: R0238939 Location: McLean,VA,US Share job via: Share Data Scientist The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

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 ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

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 ...

As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating, and optimizing machine learning models for scalable production environments. This includes determining ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

This role is primarily remote; however, candidates must be able to support mission requirements and ... Design, develop, and maintain advanced data science solutions within Army Vantage and related DoD ...

Showing results 21-40

Remote Data Scientist information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do remote data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data scientist in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Virginia? The most popular types of Data Scientist jobs in Virginia are:
What are popular job titles related to Remote Data Scientist jobs in Virginia? For Remote Data Scientist jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Remote Data Scientist jobs? Cities in Virginia with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Scientist

SAIC

Mclean, VA • On-site, Remote

$200K - $240K/yr

Full-time

Re-posted 26 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description

Job ID: 2614424

Location: McLean, VA, US

Date Posted: 2026-07-09

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.

Key Responsibilities:

  • Work closely with data scientist and technical team to implement requirements.
  • Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured data, including text data.
  • Design and implement advanced ETL code and table configurations for complex data sets. 
  • Use Structured Query Language (SQL) in Sponsor’s Oracle database to develop and organize relevant information with supporting analytics. 
  • Author analytic publications and produce ad-hoc reports to include data visualization.
  • Stay current with enterprise metadata collection tools.
  • Provide technical education to staff on an ad-hoc basis. 
  • Provide subject matter expertise in natural language processing (NLP).

Qualifications

  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Developed practical approaches for measuring performance.
  • Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assisted in selection or development of appropriate methodology to conduct research.
  • Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
  • TS/SCI with polygraph.

Desired Skills:

  • Experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Experience with cloud computing development and architecture.
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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