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Library Scientist 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 ...

Boeing

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

  • Medical

  • Life

  • Retirement

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space and Security (BDS) has an ... Utilize research tools such as search engines, library databases, Tableau, Power BI, and others to ...

Boeing

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

  • Medical

  • Life

  • Retirement

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space and Security (BDS) has an ... Utilize research tools such as search engines, library databases, Tableau, Power BI, and others to ...

Starfish

Data Scientist/Analytics Engineer

Huntsville, AL · On-site

  • 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.

Varsity Tutors

Data Science Tutor

Tuscaloosa, AL · 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 ...

Varsity Tutors

Data Science Tutor

Birmingham, AL · 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 ...

Varsity Tutors

Data Science Tutor

Montgomery, AL · 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 ...

Varsity Tutors

Data Science Tutor

Huntsville, AL · 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 ...

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Showing results 21-40

All JobsLibrary Scientist JobsLibrary Scientist Jobs in Alabama

Library Scientist information

See Alabama salary details

$45.8K

$100.9K

$124.6K

How much do library scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for library scientist in Alabama is $100,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $124,200.00 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 in library science or information management and work in academic, public, or research libraries. Salaries can vary based on the specific employer and geographic region.

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 skills and information management principles to enhance library services and information retrieval.

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

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

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

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

What cities in Alabama are hiring for Library Scientist jobs?

Cities in Alabama with the most Library Scientist job openings:

Library Scientist jobs near you
Infographic showing various Library Scientist job openings in Alabama as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $100,920 per year, or $48.5 per hour.

Data Scientist

EBSCO Industries Inc

Birmingham, AL • On-site

Full-time

Posted 26 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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