Senior Data Scientist, Dublin

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 organizationConduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to stakeholdersBuild and optimize end-to-end data pipelines, including data extraction, transformation, and feature engineering to support scalable ML solutionsReview, scale, and enhance operationalized statistical and machine learning models and algorithms, and quantify improvements in terms of business efficiency or customer experienceCreate repeatable processes and scalable data products by, for example, automating feedback loops for production statistical or machine learning modelsPerform exploratory data analysis on large-scale datasets to uncover patterns, trends, and opportunities for innovationImplement 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 documentationInfluence functional teams to develop best practices across the organizationIdentify areas of opportunity for data science to effect change and drive strategic business impactMaintain 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 roleDeep 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 SnowflakeExpert 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 languagesIntermediate proficiency in a low-level or performant languageExpert proficiency in working within a cloud computing environment using software development best practicesHands-on experience with cloud platforms (AWS and/or Azure) including services for data storage, processing, and model deploymentProven track record of deploying machine learning models to production environments and measuring their business impactExperience automating production-quality statistical or machine learning models at scale with expert understanding of their underlying mathematical and statistical theoryExperience with version control (Git), containerization (Docker), and CI/CD practicesExperience and expertise solving complex and highly impactful quantitative business problemsSelf-starting attitude; ability to spearhead new data science initiatives and collaboration across functional teamsDemonstrates 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.