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Library Science Jobs in Minneapolis, MN (NOW HIRING)

Agiliti Health, Inc.

Data Scientist

Eden Prairie, MN · On-site

$93K - $150K/yr

Bachelor's or Master's degree in Data Science, Statistics, or a related discipline. * Proficiency in SQL and Python, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch.

New

Galois, Inc.

Principal Scientist

Minneapolis, MN

... libraries that protect some of the world's most valuable data, Galois develops technology to ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

Pwc

AI & GenAI Data Scientist-Director

Minneapolis, MN · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... libraries - Utilizing Python and C++ for complex data analysis and modeling - Leading AI-driven ...

Stellar IT Group

Full Stack Developer IV

Minneapolis, MN · On-site

Experience with JavaScript testing libraries ( Jest, React Testing Library, Detox ). * Experience ... Bachelor's degree in Computer Science, IT, or related field. * Familiarity with performance testing ...

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All JobsLibrary Science JobsLibrary Science Jobs in Minneapolis, MN

Library Science information

See Minneapolis, MN salary details

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How much do library science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for library science in Minneapolis, MN is $16.41, according to ZipRecruiter salary data. Most workers in this role earn between $12.31 and $18.32 per hour, depending on experience, location, and employer.

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

To thrive in Library Science, you need a solid grounding in information organization, research, and cataloging, typically supported by a master's degree in library science (MLS or MLIS). Familiarity with integrated library systems (ILS), digital archives, and metadata standards like MARC or Dublin Core is essential. Strong interpersonal skills, customer service orientation, and adaptability help professionals assist diverse patrons and manage changing information needs. These skills are crucial for efficiently organizing resources, facilitating information access, and supporting lifelong learning in a rapidly evolving field.

What is library science?

Library science is the field that deals with the organization, management, and dissemination of information resources within libraries and similar institutions. Professionals in library science are responsible for cataloging books and media, helping patrons locate information, and preserving collections. They may also work with digital resources, data management, and information literacy. The field combines elements of information technology, archival science, and customer service to support education and research.

What are some common challenges faced by professionals in library science, and how can they be addressed?

Library science professionals often encounter challenges such as adapting to rapidly evolving technology, managing diverse patron needs, and navigating budget constraints. Staying current with digital resources and library management systems is essential, as is developing strong communication skills to serve a wide range of users. Proactively engaging in professional development, collaborating with colleagues, and seeking innovative ways to deliver services can help address these challenges while enhancing the value libraries provide to their communities.

What is the difference between Library Science vs Archivist?

AspectLibrary ScienceArchivist
Required CredentialsMaster's degree in Library Science or Information ScienceBachelor's or Master's degree in Archival Studies, History, or Library Science
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical repositories
Employer & Industry UsageLibraries, educational institutions, government agenciesHistorical societies, museums, government archives
Common Search & ComparisonLibrary Science vs Archivist

Library Science and Archivists both work with information management, but Library Science focuses on organizing and providing access to library resources, while Archivists preserve and manage historical records and documents. Their roles often overlap in information organization, but their environments and specific skills differ.

What are popular job titles related to Library Science jobs in Minneapolis, MN? For Library Science jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Library Science jobs in Minneapolis, MN look for? The top searched job categories for Library Science jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Library Science jobs? Cities near Minneapolis, MN with the most Library Science job openings:
Library Science jobs near you
Infographic showing various Library Science job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 21% Part Time, and 6% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $34,142 per year, or $16.4 per hour.

Data Scientist

Agiliti Health, Inc.

Eden Prairie, MN • On-site

$93K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Agiliti rating

7.4

Company rating: 7.4 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

136th of 278 rated repair and maintenance companies

Job description

POSITION SUMMARY
The Data Scientist at Agiliti Health contributes to the integration of advanced data analytics across our healthcare technology management and service solutions. This position involves developing and implementing innovative analytics projects that enhance operational efficiency, improve patient care, and support the services we provide to our healthcare clients.
PRIMARY OBJECTIVES AND RESPONSIBILITIES
  • Participate in the development and implementation of data analytics projects across various operations.
  • Utilize data science tools such as SQL, Databricks, Azure, and Python to analyze data and identify patterns.
  • Design and develop machine learning solutions to optimize workflows and processes.
  • Deploy and monitor machine learning models within the Databricks environment.
  • Collaborate with Business Analysts to determine additional data needs and communicate process improvements.
  • Assist in troubleshooting and resolving urgent and high-priority production incidents.

QUALIFICATIONS
  • Minimum of 2 years of experience in Data Science, Machine Learning Engineering, or a related field.
  • Bachelor's or Master's degree in Data Science, Statistics, or a related discipline.
  • Proficiency in SQL and Python, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Experience in developing predictive modeling capabilities within an organization.
  • Ability to extract valuable insights from datasets to guide machine learning model development.
  • Experience in refining and expanding existing machine learning pipelines.

KNOWLEDGE, SKILLS, AND ABILITIES
  • Strong analytical skills to identify patterns and insights from complex datasets.
  • Familiarity with time series forecasting techniques.
  • Excellent problem-solving abilities to troubleshoot and resolve production incidents.
  • Effective communication skills for collaboration with Business Analysts and cross-functional teams.
  • Ability to innovate and integrate advanced data analytics solutions.
  • Proficiency in deploying and monitoring machine learning models in Databricks.
  • Adaptability to work in a fast-paced environment.

DISCLAIMER
This job description in no way states or implies that these are the only duties to be performed by the employee in this position. It is not intended to give all details or a step-by-step account of the way each procedure or task is performed. The incumbent is expected to perform other duties necessary for the effective operation of the department and the company.
It is the policy of Agiliti to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, age, physical or mental disability, genetic information, marital status, status as a veteran, military service, or any other characteristic protected by applicable federal, state, or local civil rights laws. In addition, Agiliti will provide reasonable accommodations for qualified individuals with disabilities. Agiliti strictly prohibits any form of retaliation against individuals who make good faith reports of alleged violations of this policy or who cooperate in Agiliti's investigation of such reports. Affirmative Action Policy Statements
You may be required to obtain certain vaccinations, or provide proof of current vaccination status, based on customer and/or company requirements. If vaccination is required, Agiliti will provide specific directions and cover the expense at a participating clinic. Please note, this includes the COVID-19 vaccination.
Agiliti offers a robust suite of benefits for regular, full-time, non-union employees including: health insurance options for Medical, Dental & Vision plans, Short- and Long-Term Disability plans, Flexible Spending Accounts, Health Savings Accounts, Life Insurance Options, Paid Time Off, 401K Saving Plan with employer match, Employee Discounts, Tuition Reimbursement, Daily Pay program, Employee Assistance Program, and wellness programs.
Agiliti is an equal opportunity employer and provides reasonable accommodations to employees and applicants consistent with state and federal law.
If you require assistance with your application, please contact recruiting@agilitihealth.com.
Primary Job Location:
Corporate MN
Additional Locations (if applicable):
Job Title:
Data Scientist
Company:
Agiliti
Location City:
Eden Prairie
Location State:
Minnesota
Pay Range for All Locations Listed:
$93,810.95 - $150,140.59
This range represents the low and high ends of the Agiliti pay range for this position. This base pay range information is based on the market locations shown. For sales positions, this range combines the base salary and the target incentive pay. The actual pay offered may vary depending on several factors including geographic location, experience, job-related knowledge, skills, and related factors. Dependent on the position offered, short-term and/or long-term incentives may be provided as part of the compensation. Applicants should apply via Agiliti's internal or external career site.

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