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Library Science Jobs in Atlanta, GA (NOW HIRING)

Bachelor's or master's degree in information science, library science, ontology, semantics, computational linguistics, computer science, or related field. * 2+ years of experience defining and ...

Align data science initiatives with strategic business objectives Governance & Ethics * Ensure ... Experience with data visualization tools (Tableau, Power BI, or Python libraries) * Strong ...

... Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical ... Stay updated on the latest data science tools, techniques, and trends through ongoing professional ...

... Library Science, Economics and Finance & Technology, Applied Physics, Mathematics, Business Administration/Management, Management Information Systems preferred - Accredited in Icertis CLM solution ...

Supervise contributions to the KA proprietary solution library - KaizenValueAccelerators (KVAs) and ... Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering ...

Create compelling visualizations using tools like Tableau , Power BI , and Python libraries (e.g ... Stay updated on the latest data science tools, trends, and best practices through professional ...

Data Management Specialist

Atlanta, GA · On-site

$70K - $92K/yr

Bachelor's degree in information management, library science, information systems, public administration, or a related field from an accredited institution. * 3+ years of post-baccalaureate ...

Showing results 41-60

Library Science information

See Atlanta, GA salary details

$8

$15

$27

How much do library science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for library science in Atlanta, GA is $15.13, according to ZipRecruiter salary data. Most workers in this role earn between $11.35 and $16.88 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 the most commonly searched types of Library Science jobs in Atlanta, GA? The most popular types of Library Science jobs in Atlanta, GA are:
What are popular job titles related to Library Science jobs in Atlanta, GA? For Library Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Library Science jobs in Atlanta, GA look for? The top searched job categories for Library Science jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Library Science jobs? Cities near Atlanta, GA with the most Library Science job openings:
Infographic showing various Library Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 19% Part Time, and 6% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $31,477 per year, or $15.1 per hour.

Full-time

Posted 5 days ago


Coca-Cola Consolidated rating

7.3

Company rating: 7.3 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

179th of 437 rated food and drinks producers


Job description

Job Description Summary:
At The Coca-Cola Company, our vision is to craft brands and choices people love while refreshing the world in more ways than ever before. Data and intelligence are at the heart of how we understand consumers, accelerate growth, and create a more connected enterprise. The Senior Manager - Ontology and Graph Modeling play a pivotal role in building the semantic foundations that drive consistent, trusted, and actionable data across our global system. This role will be part of a forward-looking Data Engineering and Platforms team, enabling scalable use of trusted data, advanced analytics, and knowledge graphs to power decision-making.
Semantic clarity is essential for interoperability across markets, AI models, and platforms. This role will drive the creation of a governed semantic and graph foundation that connects fragmented data sources and enables agents, copilots, analytics, and operational decision-making. This is an individual contributor role focused on hands-on technical leadership, solution design, and delivery excellence rather than direct people management.
Core Responsibilities
  • Lead the design, development, and maintenance of enterprise ontologies, taxonomies, controlled vocabularies, and graph models to enable semantic consistency and interoperability.

  • Define modeling standards, reusable patterns, and implementation strategies for ontologies, entity relationships, upper ontology concepts, and property graph structures.

  • Integrate graph solutions with enterprise data stores, APIs, MCP servers, and related technologies to meet stakeholder needs.

  • Architect scalable mapping pipelines that connect distributed physical data sources to the logical graph layer without data redundancy.

  • Enable AI and machine learning through structured knowledge representations that improve inference, entity resolution, and data discoverability.

  • Use LLMs, GenAI, rules engines, reusable frameworks, and automation utilities to curate, build, adapt, and evolve the corporate ontology catalog.

  • Implement semantic validation, formal reasoning, and performance monitoring frameworks to ensure model correctness, scalability, auditability and reliability.
  • Design semantic layers that explicitly bind underlying physical data tables to the enterprise ontology, ensuring autonomous agents and subagents are grounded in deterministic business logic rather than probabilistic LLM outputs.
  • Develop context-injection and semantic routing patterns that allow multi-agent systems to securely query and traverse the knowledge graph for complex, multistep reasoning and planning.
  • Establish the graph model as the foundational long-term memory and context engine for enterprise copilots, enabling agents to maintain state and context across disjointed user sessions.

Required Qualifications & Experience
  • Bachelor's or master's degree in information science, library science, ontology, semantics, computational linguistics, computer science, or related field.

  • 2+ years of experience defining and implementing production-grade knowledge graphs and ontologies.

  • Ability to develop and implement ontologies and data models in collaboration with stakeholders across data management, search, product management, machine learning, and other enterprise initiatives.

  • 3+ years of experience with knowledge graph technologies such as RDF, OWL, SHACL, SKOS, LPG, and SPARQL.

  • At least 2 years of experience or training with ontology and linked data tools such as Protégé, TopQuadrant, Stardog, Jena, or Data.World.

  • Expert proficiency with graph query languages such as Cypher, GQL, or SPARQL.

  • Familiarity with enterprise ontology management suites and governance frameworks, including Knowledge Graph (organizational, GraphRAG, Query/Traversal) patterns.
  • Hands-on experience integrating knowledge graphs with LLM orchestration and agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel) to build productiongrade GraphRAG pipelines.
  • Proficiency in hybrid retrieval strategies, combining vector embeddings with graph traversals to optimize agent context windows.

Preferred Qualifications
  • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data.

  • Experience designing architectures that manage parallel, autonomous AI subagents, utilizing the graph to enforce boundaries and prevent conflicting actions.

  • Familiarity with exposing graph traversal functions as distinct 'tools' or 'skills' for LLM tool-calling (e.g., via OpenAI function calling or MCP servers).
  • Experience with Palantir, Microsoft Fabric and Microsoft Foundry.

Success Measures
  • Evaluate the current state of semantic pilots, data assets, and structural mappings across the organization.

  • Standardize the core taxonomical conventions and architectural blueprints for initial multi-domain integration.

  • Demonstrate a measurable reduction in AI hallucination rates and a quantifiable increase in autonomous multi-step task completion by leveraging the governed semantic foundation.

  • Showcase a quantifiable increase in context-retrieval accuracy and performance for dependent enterprise AI applications.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Skills:
Pay Range:
United States of America: 152,000 USD - 178,300 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
15
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
August 14, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

What Coca-Cola Consolidated employees say

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About Coca-Cola Consolidated

Sourced by ZipRecruiter

Coca-Cola Consolidated, based in Charlotte, NC, US, is a preeminent company in the beverage industry. The company is the largest independent bottler for The Coca-Cola Company in the United States. The company’s product portfolio includes prominent beverages such as Coca-Cola, Diet Coke, Sprite, and a variety of other beverages produced by The Coca-Cola Company. Founded in in 1980 after multiple expansions and mergers, the company has since gained a steadfast reputation in the industry as a leading bottler and distributor. Coca-Cola Consolidated's core values are committed to excellence, committed to service, committed to a higher calling, and committed to each other. Their mission is to share in the refreshment, fun, and fellowship of happiness found in The Coca-Cola Company’s beverages. Their notable achievements include not only market expansion but also their history of giving back to the communities where they operate, signifying their dedication to corporate social responsibility.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US