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Library Science Jobs in Atlanta, GA (NOW HIRING)

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

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

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

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

Pwc

CLM Solution Lead, Manager

Atlanta, GA

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

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

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

4P Consulting Inc.

Data Scientist 2 4P/187

Atlanta, GA · On-site

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 ...

ResolveSoft Inc

Be Seen First

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 ...

Home Depot

Data Scientist

Atlanta, GA · On-site

... library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision ...

Home Depot

Data Scientist - People Analytics

Atlanta, GA · On-site +1

... library of reusable algorithms. This role requires deep knowledge in specialized data science areas, particularly in recommendation systems, Natural Language Processing (NLP), Generative AI, and ...

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All JobsLibrary Science JobsLibrary Science Jobs in Atlanta, GA

Library Science information

See Atlanta, GA salary details

$8

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$27

How much do library science jobs pay per hour?

As of Sep 2, 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 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 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:

Library Science jobs near you
Infographic showing various Library Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $31,477 per year, or $15.1 per hour.

Data Scientist II

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted 29 days ago

Job description

Position: Data Scientist II


Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID
Duration:  1 Year

Client: Southern Company

Position Overview

The Data Scientist II is responsible for leveraging large and complex datasets to uncover insights, develop predictive models, and drive data-informed decision-making across the organization.

This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal candidate is a strategic thinker who can translate business challenges into scalable analytical solutions while mentoring junior team members.

Key Responsibilities

Data Analysis & Insight Generation

  • Collect, clean, and analyze complex datasets
  • Identify trends, patterns, and actionable insights
  • Apply statistical techniques to support data-driven decisions

Predictive Modeling & Machine Learning

  • Develop and deploy machine learning models to predict future trends and outcomes
  • Apply regression, clustering, classification, and advanced modeling techniques
  • Build and optimize algorithms such as:
    • Decision Trees
    • Random Forests
    • Neural Networks
    • Gradient Boosting models

Feature Engineering & Model Optimization

  • Engineer and select relevant features to improve model performance
  • Fine-tune model parameters and validate predictive accuracy
  • Ensure models are scalable and production-ready

Model Deployment & Production Support

  • Deploy machine learning models into production environments
  • Support real-time decision-making applications
  • Monitor model performance and retrain as needed

Data Visualization & Communication

  • Develop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, etc.)
  • Communicate insights effectively to technical and non-technical stakeholders

Hypothesis Testing & Experimentation

  • Design and analyze A/B tests
  • Conduct hypothesis testing and provide statistical validation
  • Measure business impact of changes and enhancements

Data Integration & Collaboration

  • Collaborate with IT and database teams to access and integrate data sources
  • Work with cross-functional teams (engineering, business analysts, domain experts)
  • Align data science initiatives with strategic business objectives

Governance & Ethics

  • Ensure ethical data practices and compliance with data privacy regulations
  • Maintain documentation and transparency in model development

Leadership & Development

  • Mentor junior data scientists and analysts
  • Contribute to best practices and data science methodologies
  • Stay current with emerging tools, technologies, and industry trends

Required Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field
  • 5–10 years of experience in data science, machine learning, and statistical analysis
  • Proficiency in Python, R, or Julia
  • Strong understanding of machine learning algorithms and their applications
  • Experience with SQL and database querying
  • Experience with data visualization tools (Tableau, Power BI, or Python libraries)
  • Strong analytical, problem-solving, and critical-thinking skills
  • Excellent written and verbal communication skills

Preferred Qualifications

  • Master’s or Ph.D. in a quantitative field
  • Experience with big data technologies (Hadoop, Spark)
  • Experience with distributed computing frameworks
  • Experience deploying models in cloud environments