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Library Science Jobs in Minnesota (NOW HIRING)

Epicor

Data Scientist

Minneapolis, MN · Hybrid

What you will likely bring: * 2-4 years' experience in data science, analytics, statistical ... Experience using Python libraries such as pandas, NumPy, scikit-learn, or similar analytical tools.

New

Micron

ASIC Gen-AI Data Scientist

Minneapolis, MN · On-site +1

$119K - $286K/yr

Bachelor'swith 4+ years orMaster's degree with 2+ inElectricalEngineering, Computer Science, Data ... tools and libraries such as pandas, scikit-learn, matplotlib,plotly, or similar ecosystems.

Galois, Inc.

Principal Scientist

Minneapolis, MN · On-site

... 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 - Manager

Minneapolis, MN · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... machine learning libraries - Utilizing complex data analysis and data modeling techniques ...

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 ...

Allegiant

Optimization Engineer - Commercial

Minneapolis, MN · On-site

$119K - $143K/yr

This role partners closely with the Commercial Data Science team to integrate predictive models ... Experience building optimization models using Python libraries such as PuLP, Pyomo, OR-Tools, SciPy ...

THOMSON REUTERS

Applied Scientist Intern

Eagan, MN · On-site

$15.25 - $20.50/hr

Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain ... Opportunities For Our Applied Science Interns: * Learning & Development : On-the-job coaching ...

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How much do library science jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for library science in Minnesota is $15.41, according to ZipRecruiter salary data. Most workers in this role earn between $11.54 and $17.16 per hour, depending on experience, location, and employer.

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 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 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.

Are there jobs in library science?

Yes, library science professionals such as librarians, archivists, and library technicians are employed in public, academic, special, and school libraries. These roles often require a master's degree in library science or a related field and involve managing collections, assisting users, and organizing information using library management systems.

Is library science a good career?

Library science is a viable career for individuals interested in managing information, assisting users, and organizing collections. It typically requires a master's degree in library science or information studies and involves skills in technology, cataloging, and research. Job prospects can vary based on location and institutional funding, but the field offers opportunities in public, academic, and special libraries.

What do you do with a library science degree?

A library science degree prepares individuals for careers as librarians, archivists, information specialists, or library technicians. These roles involve managing collections, assisting users, organizing information, and using library management systems. Additional certifications or knowledge of digital resources and cataloging standards are often beneficial.

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

The most popular types of Library Science jobs in Minnesota are:

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

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

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

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

What cities in Minnesota are hiring for Library Science jobs?

Cities in Minnesota with the most Library Science job openings:

Library Science jobs near you
Infographic showing various Library Science job openings in Minnesota as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 69% Full Time, 26% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $32,058 per year, or $15.4 per hour.

Data Scientist

Minneapolis, MN • Hybrid

Epicor
See more jobs at Epicorexternal

Full-time

Posted 2 days ago

New

Job description

As a Data Scientist at Epicor, you will help turn data into meaningful insights that support product and business decisions. You will work with data scientists, engineers, product teams, and subject-matter experts to explore data, develop analytical solutions, and communicate findings to stakeholders. You will have opportunities to strengthen your technical skills while contributing to customer-facing analytics and data-driven initiatives. We are seeking applicants with a strong analytical foundation, working knowledge of Python and SQL, and an interest in solving practical business problems with data.What you will be doing:
  • Analyze structured and unstructured datasets to identify trends, answer business questions, and support data-informed decision-making.
  • Develop, test, and refine statistical and analytical models with support from more experienced team members.
  • Contribute to analytics capabilities aligned with product roadmaps, customer needs, and defined business use cases.
  • Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and other stakeholders to develop end-to-end analytical solutions.
  • Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation.
  • Evaluate new data sources and analytical methods that may support product or business needs.
  • Document analytical approaches, communicate findings, and support the deployment and ongoing improvement of data science solutions.
What you will likely bring:
  • 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience.
  • Working knowledge of Python and SQL for data analysis, data preparation, modeling, and visualization.
  • Understanding of statistical methods, model evaluation, and analytical problem-solving.
  • Experience working with datasets to identify patterns, test hypotheses, and communicate actionable findings.
  • Familiarity with database concepts, data warehousing, or data-processing workflows.
  • Strong written and verbal communication skills, with the ability to explain findings to technical and nontechnical stakeholders.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience.
What could set you apart:
  • Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI.
  • Experience using Python libraries such as pandas, NumPy, scikit-learn, or similar analytical tools.
  • Exposure to AI or machine-learning tools, frameworks, application programming interfaces, or cloud-based AI services.
  • Experience applying AI or machine learning to practical business, product, or customer use cases.
  • Exposure to R or other data science and statistical tools.
  • Experience with data-visualization or business-intelligence tools such as Power BI, Tableau, or MicroStrategy.
  • Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows.

#LI-HYBRID #LI-MB2

About Epicor

At Epicor, we're truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.

We're Proactive, Proud, Partners.


Whatever your career journey, we'll help you find the right path. Through our training courses, mentorship, and continuous support, you'll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we're the essential partners for the world's most essential businesses-the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits

  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role- but your experience doesn't match every qualification of the job description, that's okay- consider applying regardless.

We are an equal-opportunity employer.

Range:

Minimum: $94,000 USD Maximum: $151,000 USD

The salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.

Recruiter:

Matthew Brady

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