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Postdoc Data Science Remote Jobs in Virginia (NOW HIRING)

Data Scientist Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

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

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244172 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 ...

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246129 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 ...

Data Scientist

Arlington, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247512 Location: Arlington,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 ...

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246131 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 ...

... remote sensing datasets - familiarity with the data types matters here. * Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience ...

... or remote sensing datasets -- familiarity with the data types matters here. * Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243983 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 ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0248609 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 ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243027 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 ...

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics ...

GEOINT SIGINT Data Scientist

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a GEOINT SIGINT Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support for a program based in Chantilly ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Integrate data science workflows with existing systems and applications to enable seamless data ...

Showing results 41-60

Postdoc Data Science Remote information

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

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

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

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

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

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

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

What cities in Virginia are hiring for Postdoc Data Science Remote jobs?

Cities in Virginia with the most Postdoc Data Science Remote job openings:

Infographic showing various Postdoc Data Science Remote job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist Principal

Chantilly, VA • On-site, Remote

SAIC
IT Services • 10K+ employees

$160K - $200K/yr

Full-time

Posted 20 days ago


SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services


Job description

Job ID: 2615915

Location: Chantilly, VA, US

Date Posted: 2026-08-20

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

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 hiring a Data Scientist Principal to deliver Systems Engineering Technical Advisor (SETA) supporting a program based in Chantilly, VA. This role will contribute to the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED), which oversees the acquisition and lifecycle management of systems from inception to deployment and operations.

 As the Data Scientist Principal you will support the analysis of complex data to drive strategic mission efforts. The role supports the resolution of operational and systems problems into data-driven solutions, guides analytic strategy, and advises leadership on mission impact, model risk, and data-informed tradeoffs.

Key duties of this position include (but are not limited to):

  • Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
  • Supports the collection and integration of large, complex data sets that meet cross-organizational requirements. 
  • Evaluates data quality, reliability, and efficiency throughout the data lifecycle. 
  • Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling. 
  • Documents internal process improvements to optimize data delivery and automate manual processes. 
  • Supports testing and validation procedures to ensure operational platforms function correctly, including the ability to gather user feedback, identify issues, conduct updates, and perform routine quality assurance checks.
  • Supports the development of essential technical documentation for reference and reporting, which includes documenting processes, system specifications, and modifications.
  • Supports data compliance with regulations, develop guidance, and promote ethical use of developed platforms, data repositories, and relevant technical records.

Qualifications

Required Education and Experience:

  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree. 
  • Active Top Secret/SCI with Poly.
  • 5+ years of experience in software engineering with IC, DoD, and/or commercial space architectures, systems, and/or operations.
  • Hands-on practical experience with data analytics, machine learning, and statistical methods.
  • Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics. 
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking. - Demonstrated capability and success working in team environments. 
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment. 
  • Good working knowledge of MS Office applications.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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