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Library Science Masters Jobs in Washington (NOW HIRING)

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience ... Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience ... Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience ... Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience ... Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

... paced and growing data science team working on projects critical to National Security ... Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

OR Masters Degree and 3 years of experience * OR no degree and 9 years of experience * 4+ years of ... Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on ...

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

OR Masters Degree and 3 years of experience * OR no degree and 9 years of experience * 4+ years of ... Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on ...

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

OR Masters Degree and 3 years of experience * OR no degree and 9 years of experience * 4+ years of ... Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on ...

Required : • BS/BA in Software Engineering, Science, Mathematics, or similar OR equivalent ... Tableau, Pandas, D3.js, ggplot, etc) • Open-source front end libraries that manipulate PDF ...

Advance the science in the laboratory through new procedures and discoveries. * Design and conduct ... Masters Degree in Neuroscience or similar field of study * Biosafety Level 2 (BSL 2) * Skilled in ...

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Showing results 1-20

Library Science Masters information

See Washington salary details

$35.1K

$73.8K

$116.1K

How much do library science masters jobs pay per year?

As of Jul 19, 2026, the average yearly pay for library science masters in Washington is $73,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $84,900.00 per year, depending on experience, location, and employer.

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 in library science useful?

A Master's in library science prepares individuals for careers as librarians, archivists, or information specialists, providing skills in information management, cataloging, and digital tools. It can enhance job prospects and earning potential in library and information services, especially when combined with relevant certifications or experience.

What are the key skills and qualifications needed to thrive with a Master's in Library Science, 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 types of career paths can graduates with a Library Science Master's degree 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 does getting a Master's in library science entail?

A Master's in library science is a graduate degree that prepares individuals for careers as librarians or information professionals. It typically involves coursework in cataloging, information management, and research methods, and may require internships or practical experience; some roles also require certification or state licensure.

How much money can you make with a Master's in library science?

Library science master's degree holders typically earn a median annual salary of around $60,000 to $70,000, depending on experience, location, and the type of library or institution. Salaries can range from approximately $40,000 for entry-level positions to over $90,000 for senior roles or specialized positions such as library directors.

What is a Library Science Masters degree?

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 other jobs can I do with a masters in library science?

A master's in library science prepares individuals for roles such as archivist, information manager, records manager, digital librarian, or research specialist. These positions often require skills in cataloging, information organization, and familiarity with library management systems or digital tools.
What are the most commonly searched types of Library Science Masters jobs in Washington? The most popular types of Library Science Masters jobs in Washington are:
What are popular job titles related to Library Science Masters jobs in Washington? For Library Science Masters jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Library Science Masters jobs in Washington look for? The top searched job categories for Library Science Masters jobs in Washington are:
What cities in Washington are hiring for Library Science Masters jobs? Cities in Washington with the most Library Science Masters job openings:
Infographic showing various Library Science Masters job openings in Washington as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $73,838 per year, or $35.5 per hour.
Data Scientist

Data Scientist

SAIC

Mclean, VA • On-site, Remote

$200K - $240K/yr

Full-time

Re-posted 6 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 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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