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Full Time Data Science Postdoc Jobs in Washington, DC

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Retirement

  • PTO

Intelligence Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type ... This position requires expertise in statistical modeling, predictive analytics, data science ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

Full-Time/Part-Time Full-Time Description RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making.

Carnegie Mellon University

Data Scientist

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ... Full Time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Battelle Memorial Institute

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is a full-time opportunity located in Chantilly, VA. Battelle's Chemical, Biological ... This role requires strong technical proficiency in data science tools and methodologies, a passion ...

Battelle

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is a full-time opportunity located in Chantilly, VA. Battelle's Chemical, Biological ... This role requires strong technical proficiency in data science tools and methodologies, a passion ...

Booz Allen Hamilton

Data Scientist, Mid

Washington, DC · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Booz Allen Hamilton

Data Scientist, Mid

Washington, DC · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Willingness to work full time in a hybrid work environment in theWashingtonDC area. * Bachelor's or Master'sDegree in a technical field (e.g., data science, statistics, computer science, mathematics ...

Booz Allen Hamilton

Data Scientist, Mid

Washington, DC · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Help strengthen the client's internal data-science capability through pairing, code review ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Help strengthen the client's internal data-science capability through pairing, code review ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Willingness to work full time in a hybrid work environment in the Washington DC area. * Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science ...

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Showing results 41-60

All JobsData Science Postdoc JobsFull Time Data Science Postdoc JobsFull Time Data Science Postdoc Jobs in Washington, DC

Full Time Data Science Postdoc information

See Washington, DC salary details

$65.1K

$77.1K

$146.1K

How much do full time data science postdoc jobs pay per year?

As of Aug 12, 2026, the average yearly pay for full time data science postdoc in Washington, DC is $77,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $67,400.00 per year, depending on experience, location, and employer.

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

To excel as a Full Time Data Science Postdoc, you need an advanced degree (usually a PhD) in a quantitative field, strong statistical analysis skills, and experience in research methodologies. Proficiency with programming languages such as Python or R, data analysis libraries, and tools like TensorFlow or SQL is typically required. Exceptional problem-solving ability, clear communication, and collaborative skills help you stand out in multidisciplinary research environments. These competencies are essential for generating impactful research outcomes, advancing scientific knowledge, and effectively sharing results with both technical and non-technical audiences.

What is a full time data science postdoc?

A Full Time Data Science Postdoc is a postdoctoral research position focused on applying advanced data analysis, statistical modeling, and machine learning methods to solve complex problems in academic, industrial, or research settings. These positions are typically held by individuals who have recently completed a PhD in fields such as computer science, statistics, mathematics, or related disciplines. The role often involves working on large datasets, developing new algorithms, publishing research findings, and collaborating with interdisciplinary teams. Full-time postdocs are expected to dedicate their working hours entirely to research and related academic activities. This experience often serves as a bridge to permanent positions in academia or industry.

What are the typical collaboration opportunities for a full time data science postdoc within a research institution or industry team?

As a Full Time Data Science Postdoc, you can expect to work closely with multidisciplinary teams that may include data engineers, domain experts, software developers, and senior researchers. Collaboration often involves joint problem-solving, co-authoring publications, and contributing to grant proposals or product development. You'll likely participate in regular meetings, data reviews, and brainstorming sessions, which provide valuable opportunities to expand your professional network and learn from colleagues in different fields. These collaborative experiences are not only essential for project success but also enhance your skills and visibility for future career advancement.
What are popular job titles related to Full Time Data Science Postdoc jobs in Washington, DC? For Full Time Data Science Postdoc jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Full Time Data Science Postdoc jobs in Washington, DC look for? The top searched job categories for Full Time Data Science Postdoc jobs in Washington, DC are:
Full Time Data Science Postdoc jobs near you

Data Scientist

CACI International, Inc.

Alexandria, VA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

Job Title: Data Scientist
Job Category: Intelligence
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 50%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a Data Scientist to support Joint Interagency Task Force 401 (JIATF 401). The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational, intelligence, and mission data into predictive insights and decision-support products. This position requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and develop innovative analytical solutions supporting senior military and civilian leadership.
Responsibilities:
  • Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
  • Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
  • Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
  • Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
  • Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
  • Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.
  • Conduct exploratory data analysis, feature engineering, model validation, and performance optimization to improve analytical accuracy and operational effectiveness.
  • Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
  • Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
  • Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
  • Research, evaluate, and integrate emerging AI technologies, machine learning frameworks, and advanced analytical methodologies to improve mission performance.
  • Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior military and civilian leadership.
  • Ensure analytical models comply with applicable security, governance, validation, and data integrity requirements.
  • Identify opportunities to improve AI-enabled workflows, analytical automation, predictive modeling capabilities, and enterprise decision-support systems.

Qualifications:
Required:
  • Active Top Secret/SCI Clearance.
  • MA/MS with 10+ years' experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.
  • Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms.
  • Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
  • Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
  • Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
  • Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
  • Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
  • Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
  • Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, executive briefings, and presentation materials.
  • Ability to communicate complex analytical concepts and model outputs to senior military and civilian leadership in a clear and actionable manner.
  • Proven ability to collaborate across multidisciplinary technical and operational teams.

Desired:
  • Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
  • Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
  • Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
  • Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, predictive maintenance, threat forecasting, or autonomous systems.
  • Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
  • Experience supporting operational research, capability development, technology evaluations, acquisition decision-making, or advanced mission analytics within defense organizations.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,400 - $198,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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