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Library Scientist Jobs in Utah (NOW HIRING)

Data Science Tutor

Logan, UT · Remote

$18 - $40/hr

... with visualization libraries, building predictive models, conducting statistical tests, and ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

... with visualization libraries, building predictive models, conducting statistical tests, and ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Data Science Tutor

Cedar City, UT · Remote

$18 - $40/hr

... with visualization libraries, building predictive models, conducting statistical tests, and ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

... library, obsolescence management and termination finish risk results in support of design reviews for a program.   Qualifications You Must Have: * Typically requires a Bachelor's in Science ...

Showing results 41-60

Library Scientist information

See Utah salary details

$46K

$101.4K

$125.2K

How much do library scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for library scientist in Utah is $101,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $124,700.00 per year, depending on experience, location, and employer.

What is a library scientist?

Library scientists, also known as library and information scientists, are professionals who manage, organize, and facilitate access to information resources in libraries and related institutions. They use their expertise in information science, technology, and research to classify, preserve, and retrieve data for users. Library scientists also develop systems for cataloging, digital archiving, and improving information accessibility. Their work supports education, research, and the dissemination of knowledge in various settings, including public, academic, and special libraries.

What are the key skills and qualifications needed to thrive as a library scientist?

To thrive as a Library Scientist, you need a solid grounding in information science, research methodologies, and data organization, usually supported by a master's degree in library and information science (MLIS). Familiarity with cataloging systems (like MARC), digital archives, and library management software is typically required. Strong analytical thinking, attention to detail, and excellent communication skills help set outstanding professionals apart in this field. These skills ensure efficient information management, user support, and the advancement of library services in an evolving digital environment.

What are some typical challenges faced by library scientists in managing digital collections?

Library Scientists often encounter challenges in managing digital collections, such as ensuring proper metadata standards, integrating new technologies, and safeguarding digital assets against data loss or obsolescence. They must balance accessibility for users with copyright and licensing restrictions, and regularly evaluate digital preservation strategies. Collaboration with IT professionals and ongoing training are essential for staying current with evolving best practices in digital library science.

What is the difference between Library Scientist vs Librarian?

AspectLibrary ScientistLibrarian
Required CredentialsMaster's degree in Library Science or related field, often with research experienceMaster's degree in Library Science (MLS) or equivalent
Work EnvironmentResearch institutions, academic settings, specialized librariesPublic, school, academic, or special libraries
Employer & Industry UsageResearch organizations, universities, government agenciesPublic libraries, schools, universities, corporate libraries
Common Search & ComparisonResearch roles, data analysis, library science researchLibrary management, user services, collection development

While both Library Scientists and Librarians hold master's degrees in Library Science, Library Scientists focus more on research, data analysis, and developing new library systems, often working in academic or research settings. Librarians typically manage library operations, assist users, and curate collections in public or educational libraries. The roles overlap in credentials but differ in focus and work environment.

How much does a library scientist make?

The average salary for a library scientist is around $60,000 to $80,000 per year, depending on experience, education, and location. Professionals in this role often hold advanced degrees and may work in academic, public, or research libraries, utilizing specialized skills in information management and data analysis.

Is library science still in demand?

Library scientists, or librarians, continue to be in demand for managing information resources, digital collections, and community services. Employment opportunities are expected to grow steadily, especially with skills in digital tools, data management, and information technology.

What does a library scientist do?

A library scientist researches, develops, and manages information systems and library technologies to improve access to information. They analyze data, design databases, and implement digital tools, often using programming and data management skills, to enhance library services and information retrieval. The role may also involve developing policies and training staff on new systems.

What are popular job titles related to Library Scientist jobs in Utah?

For Library Scientist jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Library Scientist jobs in Utah look for?

The top searched job categories for Library Scientist jobs in Utah are:

What cities in Utah are hiring for Library Scientist jobs?

Cities in Utah with the most Library Scientist job openings:

Infographic showing various Library Scientist job openings in Utah as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $101,363 per year, or $48.7 per hour.

Data Science Tutor

Varsity Tutors

Logan, UT • Remote

$18 - $40/hr

Part-time

Re-posted 6 days ago


Varsity Tutors rating

5.9

Company rating: 5.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

12th of 24 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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