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Artificial Intelligence Librarian Jobs in Reston, VA

Leidos

Data Scientist

Springfield, VA · On-site

Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining ... Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining ... Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Roberthalf

Senior AI ML Cloud Developer

Washington, DC · On-site

$61.75 - $81.50/hr

You understand the business environment and potential impact of Artificial Intelligence within ... experience in libraries/frameworks such as TensorFlow,PyTorch, Scikit-learn,Langchain, etc.

Protiviti

Senior AI ML Cloud Developer

Washington, DC · On-site

$61.75 - $81.50/hr

You understand the business environment and potential impact of Artificial Intelligence within ... experience in libraries/frameworks such as TensorFlow,PyTorch, Scikit-learn,Langchain, etc.

AIToolboard

AI Research Scientist

Washington, DC · On-site

$120 - $180/hr

D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related ... Proficiency in programming languages such as Python, and experience with relevant libraries (e.g ...

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All JobsArtificial Intelligence Librarian JobsArtificial Intelligence Librarian Jobs in Reston, VA

Artificial Intelligence Librarian information

See Reston, VA salary details

$32.3K

$67.8K

$106.6K

How much do artificial intelligence librarian jobs pay per year?

As of Aug 21, 2026, the average yearly pay for artificial intelligence librarian in Reston, VA is $67,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $78,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence librarian?

Artificial Intelligence Librarians are professionals who manage, curate, and facilitate access to AI-related data, resources, and tools within libraries or information centers. They support researchers, students, and professionals by organizing AI datasets, guiding users on AI technologies, and ensuring ethical use of AI tools. These librarians often collaborate with IT specialists and educators to integrate AI systems into library services and to provide training on AI literacy. Their role is evolving as libraries increasingly adopt AI-driven solutions for cataloging, information retrieval, and user engagement.

How does an artificial intelligence librarian typically collaborate with data scientists and researchers within an organization?

An Artificial Intelligence Librarian works closely with data scientists and researchers by curating, organizing, and managing large datasets and AI resources, ensuring they are easily discoverable and accessible. They often assist in developing metadata standards, data governance policies, and best practices for data sharing, which streamlines research workflows. Regular collaboration may include participating in cross-functional meetings, providing training on information retrieval tools, and supporting the ethical use of AI technologies, fostering a cohesive and productive research environment.

What are the key skills and qualifications needed to thrive as an artificial intelligence librarian, and why are they important?

To thrive as an Artificial Intelligence Librarian, you need expertise in library science, information management, and a strong understanding of AI technologies, typically supported by a master's degree in library science or information science. Familiarity with machine learning tools, data curation systems, and digital library platforms is essential, along with experience using metadata standards and AI-driven search systems. Strong analytical thinking, adaptability, and excellent communication skills help you bridge the gap between advanced technologies and user needs. These skills are crucial for effectively managing digital resources, enabling access to AI-driven information, and supporting research within evolving technological landscapes.

What is the difference between Artificial Intelligence Librarian vs Data Scientist?

AspectArtificial Intelligence LibrarianData Scientist
Required CredentialsMaster's in Library Science or related field, knowledge of AI toolsDegree in Computer Science, Statistics, or related field, certifications in data analysis
Work EnvironmentLibraries, research institutions, academic settingsTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational institutions, research organizationsBusiness, tech, healthcare sectors
Common Search & ComparisonFocuses on managing AI resources and information curationFocuses on analyzing data to derive insights

The Artificial Intelligence Librarian primarily manages AI-related information resources within libraries and research settings, emphasizing information curation and access. In contrast, Data Scientists analyze large datasets to extract actionable insights. While both roles require technical knowledge, their work environments and core responsibilities differ significantly.

What are popular job titles related to Artificial Intelligence Librarian jobs in Reston, VA?

For Artificial Intelligence Librarian jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Librarian jobs in Reston, VA look for?

The top searched job categories for Artificial Intelligence Librarian jobs in Reston, VA are:

What cities near Reston, VA are hiring for Artificial Intelligence Librarian jobs?

Cities near Reston, VA with the most Artificial Intelligence Librarian job openings:

Artificial Intelligence Librarian jobs near you

Data Scientist

Leidos

Springfield, VA • On-site

Full-time

Re-posted 26 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 495 rated business services

Job description

Leidos is actively interviewing for a Data Scientist to join our team in Springfield, VA.
Job Summary
Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.
Key Responsibilities
  • Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.
  • Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
  • Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
  • Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
  • Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
  • Apply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.
  • Collaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.
  • Evaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.
  • Support data governance, security, compliance, and responsible AI practices within government mission environments.
  • Prepare technical documentation, briefings, reports, white papers, and stakeholder presentations.
  • Advise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities.

Required Technical Skills
  • Statistical modeling and inference
  • Machine learning and artificial intelligence
  • Predictive analytics and forecasting
  • Data mining and pattern analysis
  • Feature engineering and model evaluation
  • Data wrangling, integration, and transformation
  • Python, R, SQL, and scientific computing libraries
  • Visualization and dashboarding tools
  • Model deployment, monitoring, and lifecycle support
  • Documentation, briefing development, and technical communication

Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
  • Minimum of 12-15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
  • Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
  • Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
  • Strong programming experience in Python, R, SQL, or similar analytic languages.
  • Experience working with large, complex, and potentially disparate datasets in enterprise environments.
  • Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
  • Strong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.
  • Active TS/SCI with ability to be approved for a Poly

Preferred Qualifications
  • Master's degree or Ph.D. in a relevant quantitative or technical discipline.
  • Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
  • Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
  • Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
  • Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
  • Experience briefing senior government leadership and mission stakeholders.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 30, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $116,350.00 - $210,325.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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