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Library Science Masters Jobs in Virginia (NOW HIRING)

SAIC

Data Science, AI, Statistical Modeling

Chantilly, VA · On-site

$160K - $200K/yr

Masters and three (3) years or more experience; PhD and 0 years related experience * 3-5+ years (or ... Strong proficiency in Python (preferred) or R , including use of standard data science libraries

Leidos LLC

Data Scientist

Mclean, VA · On-site

$154K - $278K/yr

Must have a Masters and at least 15 years of experience OR a doctorate and at least 13 years of ... Bachelor's degree in Engineering, Computer Science, Mathematics, Data Science, Statistics, or ...

M1 Technology

Full Stack Engineer

Mclean, VA

TS/SCI with Polygraph Required Qualifications: * BS/BA in Software Engineering, Science ... Building reusable code and libraries for future use * Asynchronous programming paradigms * Linux ...

M1 Technology

Full Stack Engineer

Herndon, VA

TS/SCI with Polygraph Required Qualifications: * BS/BA in Software Engineering, Science ... Building reusable code and libraries for future use * Asynchronous programming paradigms * Linux ...

M1 Technology

Full Stack Engineer

Chantilly, VA · On-site

TS/SCI with Polygraph Required Qualifications: * BS/BA in Software Engineering, Science ... Building reusable code and libraries for future use * Asynchronous programming paradigms * Linux ...

Prysm Technology

UX/UI Designer

Herndon, VA · On-site

... scientists). - Analyze and synthesize research findings into actionable insights, personas, user ... Minimum 8 years of experience with a Bachelor's degree; or 7 years of experience with a Masters ...

Prysm Technology

UX/UI Designer

Herndon, VA · On-site

... scientists).  Analyze and synthesize research findings into actionable insights, personas, user ... Minimum 8 years of experience with a Bachelor's degree; or 7 years of experience with a Masters ...

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Library Science Masters information

See Virginia salary details

$30.7K

$64.6K

$101.6K

How much do library science masters jobs pay per year?

As of Sep 13, 2026, the average yearly pay for library science masters in Virginia is $64,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $74,400.00 per year, depending on experience, location, and employer.

What is a library science masters?

A Library Science Masters degree, often referred to as a Master of Library and Information Science (MLIS or MLS), is a graduate-level program designed to prepare students for professional roles in libraries, archives, and other information organizations. This degree covers topics such as information organization, research methods, digital libraries, cataloging, and library management. Graduates are equipped to work as librarians, archivists, information specialists, and in other related roles in schools, public libraries, academic institutions, and corporations.

What types of career paths can graduates with a library science masters pursue beyond traditional library settings?

Graduates with a Library Science Master's degree are not limited to working in public or academic libraries; they can also pursue roles in information management, digital archiving, corporate research, database administration, and museum curation. Many organizations, such as law firms, government agencies, and tech companies, seek professionals with strong information organization and retrieval skills. This degree can open doors to positions like data analyst, records manager, digital asset manager, and knowledge management specialist, providing a diverse range of career advancement opportunities.

What are the key skills and qualifications needed to thrive with a library science masters, and why are they important?

To thrive with a Master's in Library Science, you need strong research, information management, and organizational skills, typically supported by an MLS or MLIS degree. Familiarity with library databases, cataloging systems like MARC, and digital resource management tools is essential. Excellent communication, adaptability, and customer service skills help build community relationships and support diverse patron needs. These competencies ensure effective organization, access, and dissemination of information in modern library environments.

What is the difference between Library Science Masters vs Archivist?

AspectLibrary Science MastersArchivist
Required CredentialsMaster's degree in Library Science or Information ScienceMaster's degree in Library Science, Archival Studies, or related field
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical repositories
Employer & Industry UsageLibraries, educational institutions, government agenciesHistorical societies, museums, government archives
Common Search & ComparisonOften compared for information management rolesSpecialized in preserving and managing historical records

While both roles require a Master's in Library Science or related fields, Library Science Masters graduates typically work in public or academic libraries managing collections and assisting users. Archivists focus on preserving historical records and documents in archives or museums. The two careers overlap in information management but differ in their focus on user services versus preservation of historical materials.

Is a master's degree in library science worth it?

A master's degree in library science is often required for professional librarian positions and can lead to higher salaries and more advanced roles. It provides specialized knowledge in information management, cataloging, and digital resources, which are valuable skills in the field.

What can I do with a master's of library science?

A master's of library science prepares individuals for roles such as librarian, archivist, information specialist, or library director. These positions involve managing collections, providing research assistance, and using library management systems; certification or state licensure may be required. Graduates can work in public, academic, special, or corporate libraries and information centers.

What are the most commonly searched types of Library Science Masters jobs in Virginia?

The most popular types of Library Science Masters jobs in Virginia are:

What are popular job titles related to Library Science Masters jobs in Virginia?

For Library Science Masters jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Library Science Masters jobs in Virginia look for?

The top searched job categories for Library Science Masters jobs in Virginia are:

What cities in Virginia are hiring for Library Science Masters jobs?

Cities in Virginia with the most Library Science Masters job openings:

Library Science Masters jobs near you
Infographic showing various Library Science Masters job openings in Virginia as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $64,634 per year, or $31.1 per hour.

Data Science, AI, Statistical Modeling

Chantilly, VA • On-site

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$160K - $200K/yr

Other

Posted 4 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job description

Job ID: 2616611
Location: Chantilly, VA, US
Date Posted: 2026-09-08
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 seeking Data Scientist with deep expertise in AI/ML, advanced statistical modeling, and computer vision/OCR to design, develop, and deploy data-driven solutions that support mission-critical objectives. The ideal candidate combines strong quantitative skills with hands-on engineering experience, and can translate complex business or mission needs into scalable analytical and AI solutions.
You will work closely with subject-matter experts to understand requirements and translate those requirements into technical solutions to .to build models that extract value from structured and unstructured data, including images, documents, and text. Additionally, the models must detect changes from a defined baseline and incorporate the results into customer required report formats.
Key Responsibilities:
AI & Machine Learning
  • Design, build, and validate machine learning models (supervised, unsupervised, and semi-supervised) for prediction, classification, clustering, and change detection..
  • Develop and maintain end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and deployment.
  • Apply deep learning techniques (e.g., CNNs, RNNs/LSTMs/Transformers) where appropriate to solve complex business or mission problems

Statistical Modeling & Analytics
  • Develop and apply statistical models (e.g., regression, generalized linear models, hierarchical/multilevel models, time series, survival analysis, experimental design) to support forecasting, risk assessment, and operational decision-making
  • Perform rigorous exploratory data analysis (EDA) and statistical inference to identify patterns, trends, drivers, and causal relationships
  • Design and analyze A/B tests or other experiments to measure the impact of products, policies, or processes
  • Communicate uncertainty, assumptions, and limitations of models using appropriate statistical methods

Computer Vision & OCR
  • Develop computer vision and OCR solutions for image and document understanding, including detection, classification, segmentation, and feature extraction
  • Implement document layout and entity extraction models (e.g., for forms, reports, scanned documents, PDFs) to convert unstructured visual content into structured data
  • Fine-tune or customize pre-trained vision and OCR models to specific domains, languages, and document types

Stakeholder Engagement & Communication
  • Partner with business, program, or mission owners to understand requirements, define measurable objectives, and translate them into analytical solutions
  • Present results and recommendations to technical and non-technical stakeholders through clear reports, visualizations, and briefings
  • Document methodologies, models, and processes for transparency, reproducibility, and knowledge transfer

Qualifications
Required Qualifications:
  • Active TS/SCI with Poly clearance
  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience
  • 3-5+ years (or equivalent hands-on experience) in data science, machine learning, or applied statistics
  • Strong proficiency in Python (preferred) or R, including use of standard data science libraries
  • Demonstrated experience building and deploying machine learning and statistical models on real-world datasets
  • Solid foundation in statistics and probability, including:
    • Hypothesis testing, confidence intervals, power analysis
    • Regression modeling (linear, logistic, regularization methods)
    • Time series or forecasting techniques
  • Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
  • Proven experience in computer vision, including at least some of:
    • Image classification, object detection, or segmentation
    • Use of CNN-based architectures (e.g., ResNet, EfficientNet, YOLO, Mask R-CNN, etc.)
  • Practical experience with OCR and document understanding, including:
    • Implementing OCR workflows with open-source or cloud-based tools
    • Pre- and post-processing of scanned documents (denoising, deskewing, layout analysis, text normalization)
  • Experience working with relational databases and SQL; familiarity with NoSQL or data lakes is a plus
  • Ability to write clean, modular, and reproducible code using version control (e.g., Git)
  • Strong problem-solving skills, attention to detail, and ability to work both independently and as part of a team
  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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