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Library Information Science Jobs in Iowa (NOW HIRING)

... library preparation and use of platforms such as Illumina or Nanopore * Experience performing ... General ISU compensation information can be found on the University Human Resources website. Please ...

Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent ... Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related ...

Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent ... Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related ...

Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent ... Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related ...

BluePearl Library - FREE access to 2,000+ veterinary and health science journals. * BluePearl ... genetic information, marital status, citizenship status, sexual orientation or affectional ...

Ruby Devloper

New York, IA

$106K - $145K/yr

REQUIREMENTS: * BS/MS in Computer Science or a related technical field or equivalent experience ... Experience with popular libraries and APIs such as jQuery, D3, ReactJS, AngularJS, and NodeJS build ...

Ruby Devloper

New York, IA · On-site

$106K - $145K/yr

... MS in Computer Science or a related technical field or equivalent experience * 3+ years of ... Experience with popular libraries and APIs such as jQuery, D3, ReactJS, AngularJS, and NodeJS build ...

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Library Information Science information

See Iowa salary details

$7

$14

$27

How much do library information science jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for library information science in Iowa is $14.78, according to ZipRecruiter salary data. Most workers in this role earn between $11.06 and $16.49 per hour, depending on experience, location, and employer.

What is the highest paying library job?

The highest paying library job is typically a Library Director or Chief Librarian, with salaries often exceeding $100,000 annually, especially in large or academic institutions. These roles require extensive experience, advanced degrees, and strong leadership skills, and they oversee library operations, budgets, and strategic planning.

What are some common challenges faced by professionals working in Library Information Science roles?

One common challenge in Library Information Science roles is staying current with rapidly evolving digital technologies and information management systems. Professionals must continually adapt to new tools, platforms, and user expectations while ensuring that both physical and digital resources are accessible and well-organized. Balancing traditional library services with the increasing demand for digital literacy support and community engagement can also be demanding. Additionally, collaboration with educators, IT staff, and community partners is essential, requiring strong communication and project management skills.

What are the key skills and qualifications needed to thrive in Library Information Science, and why are they important?

To thrive in Library Information Science, you need a solid understanding of information organization, research methods, and often a master's degree in library science (MLS or MLIS). Familiarity with integrated library systems (ILS), cataloging standards like MARC, and digital resource management tools is typically required. Strong interpersonal skills, customer service orientation, and adaptability help professionals effectively serve diverse patrons and collaborate with colleagues. These competencies ensure efficient information access, resource management, and high-quality support in library environments.

What can I do with a library and information science degree?

A library and information science degree prepares individuals for careers as librarians, archivists, information specialists, and data managers. These roles involve organizing, preserving, and providing access to information using skills in cataloging, digital tools, and research methods, often within libraries, archives, museums, or information technology settings.

What is Library Information Science?

Library Information Science is an interdisciplinary field that focuses on the management, organization, and dissemination of information in libraries and other information centers. Professionals in this field are trained in cataloging, reference services, digital resource management, and information technology. Their work supports access to information, research, and learning for a variety of users. With the rise of digital information, Library Information Science has evolved to include expertise in digital archives, database management, and user experience design.

What can you do with a library science degree?

A library science degree prepares individuals for careers as librarians, archivists, information specialists, and library administrators. Graduates can work in public, academic, or special libraries, managing collections, providing research assistance, and implementing information systems using tools like cataloging software and digital resources.

What jobs can I get with a library and information science degree?

A degree in library and information science prepares individuals for roles such as librarian, archivist, information specialist, or library technician. These positions often require skills in cataloging, research, and using library management systems, and may involve working in public, academic, or special libraries, as well as digital information environments.

What is the difference between Library Information Science vs Library Technician?

AspectLibrary Information ScienceLibrary Technician
Required CredentialsMaster's or Bachelor's degree in Library Science or Information ScienceAssociate's degree or certification in library technology
Work EnvironmentPublic, academic, or special libraries; focus on management, research, and planningAssisting with cataloging, shelving, and customer service in libraries
Employer & Industry UsageLibraries, information centers, archivesPublic and academic libraries, schools

Library Information Science professionals typically hold advanced degrees and focus on managing library operations, research, and information systems. In contrast, Library Technicians support daily library functions like cataloging and customer assistance. Both roles are essential but differ in education requirements and responsibilities.

What are popular job titles related to Library Information Science jobs in Iowa? For Library Information Science jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Library Information Science jobs in Iowa look for? The top searched job categories for Library Information Science jobs in Iowa are:
What cities in Iowa are hiring for Library Information Science jobs? Cities in Iowa with the most Library Information Science job openings:
Infographic showing various Library Information Science job openings in Iowa as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $30,744 per year, or $14.8 per hour.
Sr Data Scientist

Full-time

Posted 17 days ago


Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

The sr data scientist is a member of the Data and Analytics Information Technology team, having a critical role in supporting the BHE (Berkshire Hathaway Energy) business transformations and asset performance management initiatives. The data scientist assists BHE business groups in translating business problems into technical and data requirements and participates in other Data and Analytics center of excellence initiatives.  This position works with information technology teams across the company to extract, transform, validate and load data into data lake and analytics software systems including Microsoft Azure and Microsoft Power BI. This individual contributes to model development, model testing, production support, data validation and data integrity efforts in the course of daily work. 

Provides Support to the Following Positions

Enterprise Analytics (IT), Berkshire Hathaway Energy,

Asset Performance and Investment Management, Berkshire Hathaway Energy,

Data Analytics Center of Excellence, Berkshire Hathaway Energy

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

Bachelor's degree in computer science, mathematics, software engineering or a related technical field. Master's in data science or related technical field preferred. 

Eight or more years of experience in data science, with a proven track record of leading and delivering successful data science projects 

Demonstrated handson experience designing and building data science proofofconcepts and working with data from multiple sources, including relational databases, APIs, and modern data platforms (e.g., Delta tables), using SQL, PySpark, and Python.

Advanced proficiency in Python and/or R, with extensive experience using standard libraries for data wrangling (e.g., pandas, tidyverse), modeling (e.g., scikitlearn, caret, tidymodels), and data visualization (e.g., seaborn, ggplot2).

Established expertise in at least one core data science domain, such as supervised learning, timeseries analysis, or survival modeling, with the ability to apply these techniques to complex, realworld business problems.

Proven experience productionizing advanced analytics and machine learning models, including transitioning solutions from development to operational and production environments.

Strong practical foundation in descriptive and inferential statistics, including hypothesis testing, confidence intervals, correlation analysis, and related statistical methods.

Handson experience with enterprise data visualization tools (Power BI preferred) and at least one cloudbased data platform (Azure and Databricks preferred).

Excellent verbal and written communication skills, with the ability to clearly communicate technical concepts, analytical results, and recommendations to both technical and nontechnical stakeholders across multiple levels of the organization.

Strong leadership and interpersonal skills, with the ability to work independently, collaborate effectively within a team, and influence outcomes without direct authority.

Demonstrated initiative and resourcefulness, with the ability to navigate ambiguity, prioritize work effectively, and deliver results with limited guidance in a fastchanging environment.

Experience working in crossfunctional team environments, partnering with engineering, product, and business stakeholders to deliver datadriven solutions.

Preferred experience with Spark, Azure DevOps, and MLOps practices.

  • Mentor and support a team of data scientists by providing technical guidance and thought leadership to ensure successful project execution, while fostering a collaborative and innovative team environment.

    Demonstrated experience in team leadership, project planning and management, and stakeholder engagement.

    Partner with Product Owners to lead endtoend data science initiatives, from problem definition and data exploration through model development, validation, and deployment.

    Apply advanced statistical and machine learning techniques to analyze complex datasets, uncover meaningful patterns, and develop predictive and prescriptive models.

    Contribute to the company's data strategy by identifying opportunities to leverage data science to improve business processes, optimize operations, and drive revenue growth.

    Collaborate with stakeholders across the organization, including Performance Engineering, Asset Performance, and Transmission & Distribution, to understand data needs and deliver solutions aligned with business objectives.

    Stay current with advancements in data science, machine learning, and GenAI technologies; evaluate and help implement new tools, algorithms, and frameworks to enhance team capabilities.

    Ensure highquality documentation practices, including narrative documentation in wikis and technical documentation in versioncontrolled repositories.

    Operate within an agile environment that supports iterative development and continuous delivery.

    Communicate effectively with both technical and nontechnical audiences across multiple platforms, including meetings, chat, email, and video conferencing.

  • Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms, including voice and video calls, chat, and email.

What Berkshire Hathaway Energy employees say

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