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Master Of Library Science Jobs in Austin, TX (NOW HIRING)

Jobtailor

AI Data Scientist - Enterprise AI

Austin, TX · On-site

$140 - $190/hr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial ... Proficiency in Python and modern AI/ML libraries and frameworks * Experience with model evaluation ...

New

Varsity Tutors

Data Science Tutor

Round Rock, TX · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... with visualization libraries, building predictive models, conducting statistical tests, and ...

Varsity Tutors

Data Science Tutor

Austin, TX · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... with visualization libraries, building predictive models, conducting statistical tests, and ...

Varsity Tutors

Data Science Tutor

San Marcos, TX · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... with visualization libraries, building predictive models, conducting statistical tests, and ...

Pwc

CLM Solution Lead, Manager

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... years of experience What Sets You Apart - Degree in Computer and Information Science, Library ... Master / Product Owner) - Significant abilities in contract lifecycle management - Leading ...

Intel

Middleware Development Engineer

Austin, TX · On-site

$111K - $211K/yr

  • Medical

  • Retirement

  • PTO

... of experience in software development. OR * Master's degree in Computer Science, Computer ... HPC communication libraries (examples being: MPI, SHMEM, or oneCCL/NCCL). * GPU software ...

SiSTEM

Science Tutor

Leander, TX · On-site

A track record of helping students improve grades, build confidence, or master concepts they previously struggled with. * Clear, patient communication and the ability to make science click for ...

SiSTEM

Science Tutor

Georgetown, TX · On-site

A track record of helping students improve grades, build confidence, or master concepts they previously struggled with. * Clear, patient communication and the ability to make science click for ...

SiSTEM

Science Tutor

Cedar Park, TX · On-site

A track record of helping students improve grades, build confidence, or master concepts they previously struggled with. * Clear, patient communication and the ability to make science click for ...

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Showing results 41-60

All JobsMaster Of Library Science JobsMaster Of Library Science Jobs in Austin, TX

Master Of Library Science information

See Austin, TX salary details

$28.2K

$72.3K

$122.9K

How much do master of library science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for master of library science in Austin, TX is $72,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $84,700.00 per year, depending on experience, location, and employer.

What is the difference between Master Of Library Science vs Archivist?

AspectMaster Of Library ScienceArchivist
Required CredentialsMLS degree, certification often optionalBachelor's or Master's in Archival Studies or related field, certification optional
Work EnvironmentLibraries, information centers, educational institutionsArchives, museums, historical repositories
Industry UsageUsed across public, academic, special librariesPrimarily in historical, cultural, and governmental institutions

The Master Of Library Science and Archivist roles share similar educational backgrounds and work environments focused on information management. However, MLS graduates typically work in libraries serving the public or academic communities, while archivists focus on preserving historical records and artifacts. Both careers require specialized knowledge, but their daily tasks and industry settings differ significantly.

Is a master's in library science useful?

A master's in library science prepares individuals for careers as librarians, archivists, and information specialists, often requiring knowledge of cataloging, information management, and digital tools. It can lead to employment in public, academic, or special libraries, with job prospects influenced by technological skills and certification requirements.

What is a Master of Library Science degree?

A Master of Library Science (MLS) is a graduate degree that prepares students for professional roles in libraries and information centers. The program typically covers topics such as information organization, research methods, digital libraries, and library management. Graduates can pursue careers as librarians, archivists, or information specialists in public, academic, special, or school libraries. An MLS is often required for librarian certification and advancement in the field. Many programs also offer specializations in areas like youth services, archives, or digital curation.

What are the key skills and qualifications needed to thrive as a Master of Library Science?

To thrive as a professional with a Master of Library Science, you need expertise in information organization, research methods, and digital resource management, typically supported by an MLS or MLIS degree. Familiarity with integrated library systems (ILS), cataloging tools like MARC, and digital databases is essential for modern library operations. Strong interpersonal, instructional, and problem-solving skills help librarians engage diverse communities and support information literacy. These competencies are crucial for providing effective access to information, adapting to evolving technologies, and meeting the needs of library users.

What are some common challenges faced by professionals with a Master of Library Science degree in modern library environments?

Professionals with a Master of Library Science degree often face challenges related to adapting to rapidly evolving technology, such as managing digital resources and teaching information literacy skills. Additionally, balancing traditional library responsibilities with new roles in data management, digital archiving, and community engagement can be demanding. Collaboration with IT staff, educators, and community organizations is also increasingly important to meet diverse patron needs and expand library services effectively.

What can I do with a Master of Library Science?

A Master of Library Science prepares individuals for careers as librarians, archivists, information managers, and research specialists. Graduates can work in public, academic, special, or corporate libraries, often utilizing cataloging, reference services, and digital information management skills. Certification or state licensure may be required for certain positions.

What are popular job titles related to Master Of Library Science jobs in Austin, TX?

For Master Of Library Science jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Master Of Library Science jobs in Austin, TX look for?

The top searched job categories for Master Of Library Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Master Of Library Science jobs?

Cities near Austin, TX with the most Master Of Library Science job openings:

Master Of Library Science jobs near you
Infographic showing various Master Of Library Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $72,342 per year, or $34.8 per hour.

AI Data Scientist - Enterprise AI

Jobtailor

Austin, TX • On-site

$140 - $190/hr

Other

Posted yesterday

New

Job description


  • Design, develop, and deploy AI-powered solutions using LLMs, Generative AI, machine learning, and predictive analytics

  • Develop data pipelines, feature engineering approaches, and analytical workflows

  • Research AI methods, tools, and frameworks for enterprise operations business problems

  • Design and execute experiments evaluating model effectiveness, accuracy, robustness, and operational performance

  • Analyze large-scale structured and semi-structured datasets to generate insights and build predictive models

  • Translate business requirements into technical approaches and communicate AI concepts to technical and non-technical audiences

  • Support AI solution adoption through training, demonstrations, documentation, and stakeholder engagement

  • Collaborate with engineers, data scientists, product owners, business leaders, and technology organizations

  • Contribute to AI best practices, reusable frameworks, and technical standards


Requirements

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field

  • 3+ years of experience developing AI, machine learning, and data science solutions

  • Proficiency in Python and modern AI/ML libraries and frameworks

  • Experience with model evaluation, experimentation, performance measurement, and validation methodologies

  • Experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies

  • Ability to collaborate effectively in culturally diverse and distributed teams

  • Preferred: 5+ years of industry experience developing AI, machine learning, and data science solutions

  • Preferred: Experience with Azure, AWS, or GCP

  • Preferred: Version control tools such as GitHub and AI-assisted development tools such as GitHub Copilot

  • Preferred: Experience with RAG, prompt engineering, and AI agents

  • Preferred: Familiarity with MLOps, model monitoring, observability, and enterprise AI governance

  • Preferred: Experience communicating technical concepts to business stakeholders

  • Preferred: Experience working in highly collaborative, matrixed organizations


Core Competencies

Demonstrates expertise in designing and deploying AI-powered solutions, utilizing machine learning, predictive analytics, and data engineering techniques. Proficient in translating complex technical concepts for diverse audiences and fostering collaboration across teams to drive AI solution adoption.


Highest-signal resume keywords

  • AI Solution Development

  • Machine Learning Expertise

  • Python Proficiency

  • Data Pipeline Development

  • Model Evaluation and Validation


ATS Optimization Keywords
Hard Skills

  • Machine Learning

  • Predictive Analytics

  • Data Engineering

  • Feature Engineering

  • Model Evaluation

  • SQL

  • Spark

  • Databricks

  • AI/ML Libraries

  • Experimentation Methodologies


Soft Skills

  • Effective Collaboration

  • Communication Skills


Industry Keywords

  • Artificial Intelligence

  • Data Science

  • Enterprise AI Governance

  • MLOps

  • AI Best Practices


Tools & Technologies

  • Azure

  • AWS

  • GCP

  • GitHub

  • GitHub Copilot

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