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Library Science Jobs in Alabama (NOW HIRING)

EBSCO Industries, Inc.

Data Scientist

Birmingham, AL · On-site

Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models ... science, and business teams. Preferred Qualifications * Experience in retail, CPG, or consumer ...

EBSCO Industries Inc

Data Scientist

Birmingham, AL · On-site

Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models ... science, and business teams. Preferred Qualifications * Experience in retail, CPG, or consumer ...

EBSCO Industries, Inc.

Data Scientist

Birmingham, AL · On-site

Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models ... science, and business teams. Preferred Qualifications * Experience in retail, CPG, or consumer ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible ... Experience evaluating and applying new technologies, products, or libraries * Experience producing ...

Guidehouse

Analytics Modernization Lead

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborate with biostatisticians and epidemiologists to validate migrated outputs and ensure scientific defensibility of modernized solutions. * Develop reusable libraries, frameworks, templates ...

Starfish

Data Scientist/Analytics Engineer

Huntsville, AL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency with Python and common data science libraries and frameworks. * Experience developing data pipelines, ETL processes, and automation solutions using Python, Alteryx, or similar tools.

Leidos

Data Analyst

Huntsville, AL · On-site

You will join a diverse team of software developers, engineers, and scientists to help create ... Intermediate ability in Python with familiarity using statistical and data analysis libraries ...

Leidos

Data Analyst

Huntsville, AL · On-site

You will join a diverse team of software developers, engineers, and scientists to help create ... Intermediate ability in Python with familiarity using statistical and data analysis libraries ...

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All JobsLibrary Science JobsLibrary Science Jobs in Alabama

Library Science information

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How much do library science jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for library science in Alabama is $14.26, according to ZipRecruiter salary data. Most workers in this role earn between $10.67 and $15.91 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.

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

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

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

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

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

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

Library Science jobs near you
Infographic showing various Library Science job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $29,668 per year, or $14.3 per hour.

Data Scientist

EBSCO Information Services

Birmingham, AL

Full-time

Posted 27 days ago

Job description

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.

We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven - hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.

We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team

Job Summary
 

Moultrie is looking for a Data Scientist to join the growing Data and Analytics Team. This team owns the development of insights from extraction that power decision-making across Moultrie. This role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems. You will own the statistical modeling and feature engineering that exists in the Data  

  • Data Layer & Feature Store: Snowflake 

  • Model Deployment: Snowflake ML Functions, Snowpark 

  • Development: Python, SQL 

  • Feature store: Snowflake 

  • Experiment Tracking: MLflow 

Typical work includes building and maintaining feature stores Snowflake/dbt, training and validating predictive models against curated datasets, and delivering model outputs as attributes made available in datasets ready for downstream tools.  

The ideal candidate has hands-on experience with applied predictive modeling in a business context (churn prediction, customer health scores, propensity scoring) and can contribute to the data work required to support it. This role will work closely with the other members of the Data and Analytics team as well as business stakeholders to align work with highest business impact.

Job Responsibilities

Predictive and Prescriptive Modeling 

  • Design, build, and maintain predictive models that address defined business questions (customer churn, subscription health, purchase propensity) using data from the foundational layer in Snowflake.   

  • Deliver model outputs as attributes that can integrate cleanly into downstream BI products (Tableau, Streamlit) and activation platforms (BlueConic, Braze, TripleWhale). 

  • Work with business stakeholders to translate ambiguous questions into scoped modeling problems with defined success metrics.  

  • Communicate model outputs and their business implications clearly to non-technical audiences.  

  • Track, document, and monitor experiments and deployed models to ensure outputs are reliable, understandable, and reproduceable.  

Feature Store and Data Engineering  

  • Contribute to the build and maintenance of features in the feature store: defining features, documenting refresh cadence, and ensuring feature pipelines are reliable and tested.  

  • Build and maintain training datasets with clear documentation of assumptions, evaluation windows, and limitations.  

  • Work with data engineers to ensure data models are structured to support feature engineering and model training.  

  • Ability to apply data engineering fundamentals (SQL modelling, versional control, documentation) to contribute to the feature store and build statistical models that integrate into the existing foundational tech stack. 

Job Requirements

Skills and Qualifications 

  • 4+ years of hands-on experience in data science or a role with significant applied modelling.  

  • Demonstrated experience building and deploying predictive models in a business context.  

  • Strong Python proficiency: Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models.  

  • Experience with classification and regression techniques and the ability to validate model performance using appropriate metrics (precision, recall, AUC, etc.). 

  • SQL proficiency: Able to write clean, maintainable code for supporting models in Snowflake with support from data engineers.  

  • Experience with Git and standard software development practices: version control, code reviews, branching, and CI/CD basics.  

  • Ability to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver. 

  • Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders.  

  • Collaborative working style: comfortable operating at the boundary between data engineering, data science, and business teams.  

Preferred Qualifications 

  • Experience in retail, CPG, or consumer hardware.  

  • Hands-on experience with a feature store platform.  

  • Experience with MLflow or a comparable experiment tracking tool.  

  • Familiarity with Snowpark or Snowflake ML Functions.  

  • Experience delivery model outputs that can be used in BI tools and other downstream platforms.  

Essential Job Function

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.

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