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Oclc Jobs (NOW HIRING)

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

OCLC, Inc.

Product Manager- WorldCat

Dublin, OH · On-site

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

OCLC, Inc.

Senior Software Engineer

Dublin, OH · On-site

$118K - $155K/yr

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

OCLC, Inc.

Technical Manager

Dublin, OH · On-site

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

OCLC, Inc.

Workday Senior HRIS Analyst

Dublin, OH · On-site

$87K - $110K/yr

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

OCLC, Inc.

Lead Software Engineer

Dublin, OH · On-site

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

OCLC, Inc.

Senior Product Operations Manager

Dublin, OH · On-site

$121K - $160K/yr

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

OCLC, Inc.

Lead Software Engineer

Dublin, OH · On-site

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

OCLC, Inc.

Senior HR Business Partner

Dublin, OH · On-site

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

SwiftCruit

Associate Data Scientist

Dublin, OH · On-site

$90 - $120/hr

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

New

Management Institute of Canada

Senior Attorney

Dublin, OH · Hybrid

  • Medical

  • Retirement

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global ...

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Oclc information

See salary details

$38K

$62.3K

$86.5K

How much do oclc jobs pay per year?

As of Aug 20, 2026, the average yearly pay for oclc in the United States is $62,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $73,000.00 per year, depending on experience, location, and employer.

What is an OCLC job?

OCLC jobs refer to positions within OCLC, a global library cooperative that provides shared technology services, original research, and community programs for libraries. Employees at OCLC work in a variety of roles such as software development, library science, customer support, data management, and research. The organization is known for creating tools like WorldCat and supporting libraries around the world through innovative technology and collaborative efforts. Working at OCLC often involves contributing to projects that help libraries improve access to information and resources. OCLC values expertise in information science, technology, and a passion for supporting library communities.

What are some common challenges faced by catalogers working with OCLC systems, and how can they be addressed?

Catalogers using OCLC systems often encounter challenges such as maintaining consistency with bibliographic records, adapting to frequent updates in cataloging standards, and efficiently managing large volumes of data. To address these, it's important to stay current with OCLC training resources, participate in professional forums, and collaborate closely with colleagues for complex or ambiguous records. Leveraging OCLC's robust documentation and support tools can greatly enhance accuracy and efficiency in daily cataloging tasks.

What are the key skills and qualifications needed to thrive as an OCLC Library Systems Specialist, and why are they important?

To thrive as an OCLC Library Systems Specialist, you need a solid understanding of library science, bibliographic standards, and experience with integrated library systems, often supported by a degree in library or information science. Familiarity with OCLC services such as WorldCat, Connexion, and MARC records, along with relevant certifications, is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you support library staff and manage complex cataloging needs. These competencies ensure accurate resource management, efficient workflows, and enhanced access to library collections.

What is the difference between Oclc vs Cataloger?

AspectOclcCataloger
CredentialsTypically requires a degree in library science or related fieldUsually requires a degree in library science or related field
Work EnvironmentWorks with library cataloging systems and global bibliographic dataPerforms cataloging and classification of library materials
Industry UsageUsed across libraries, archives, and information organizationsPrimarily employed in libraries and information centers

Oclc and Cataloger roles both involve library cataloging, but Oclc focuses on managing bibliographic data using the OCLC system, while Catalogers perform the actual classification and cataloging of library materials. Both require similar credentials and work environments, often within the library and information industry.

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Cities with the most Oclc job openings:

What states have the most Oclc jobs?

States with the most job openings for Oclc jobs include:

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Oclc jobs near you
Infographic showing various Oclc job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Temporary. Highlights an 79% Physical, 18% Hybrid, and 3% Remote job distribution, with an average salary of $62,311 per year, or $30 per hour.

Senior Data Scientist

OCLC, Inc.

Dublin, OH • On-site

Full-time

Medical, Retirement

Re-posted 14 days ago

Job description

Together we make breakthroughs possible.
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
  • Free use of our on-site fitness center, gym sports, group exercise classes, and game room
  • Onsite catering and cafeteria subsidized by OCLC
  • Health and wellness events
  • Work environments with individual and team spaces and the latest technology tools
  • Paid parental leave and adoption assistance
  • Tuition reimbursement and Public Service Loan Forgiveness eligibility
  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
As a Senior Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Responsibilities:
  • Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems and drive data-driven decision making across the organization
  • Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to stakeholders
  • Build and optimize end-to-end data pipelines, including data extraction, transformation, and feature engineering to support scalable ML solutions
  • Review, scale, and enhance operationalized statistical and machine learning models and algorithms, and quantify improvements in terms of business efficiency or customer experience
  • Create repeatable processes and scalable data products by, for example, automating feedback loops for production statistical or machine learning models
  • Perform exploratory data analysis on large-scale datasets to uncover patterns, trends, and opportunities for innovation
  • Implement MLOps best practices, including model versioning and monitoring to ensure reliable model performance in production.
  • Mentor junior data scientists and contribute to the development of team capabilities through code reviews, knowledge sharing, and best practice documentation
  • Influence functional teams to develop best practices across the organization
  • Identify areas of opportunity for data science to effect change and drive strategic business impact
  • Maintain engagement with the data science community and current industry developments to assist in driving technical data science team vision and strategy

Requirements:
  • Master's Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related quantitative fields) and 5+ years professional experience in a data science role or PhD in a quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role
  • Deep understanding of machine learning algorithms, statistical modeling techniques, and their practical applications, along with extensive experience using ML frameworks and libraries such as scikit-learn, TensorFlow, or similar tools.
  • Strong SQL skills and experience working with large-scale data warehousing platforms, particularly Snowflake
  • Expert proficiency in a scripting language such as Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn) and strong programming skills in Java or similar languages
  • Intermediate proficiency in a low-level or performant language
  • Expert proficiency in working within a cloud computing environment using software development best practices
  • Hands-on experience with cloud platforms (AWS and/or Azure) including services for data storage, processing, and model deployment
  • Proven track record of deploying machine learning models to production environments and measuring their business impact
  • Experience automating production-quality statistical or machine learning models at scale with expert understanding of their underlying mathematical and statistical theory
  • Experience with version control (Git), containerization (Docker), and CI/CD practices
  • Experience and expertise solving complex and highly impactful quantitative business problems
  • Self-starting attitude; ability to spearhead new data science initiatives and collaboration across functional teams
  • Demonstrates excellent communication skills with ability to explain statistic and mathematical concepts to non-experts

Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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