Summary
Senior Data Scientist role at OCLC focused on developing and implementing advanced analytics and machine learning solutions to drive business impact. The position involves leading data science initiatives that support OCLC's mission in the library and information services sector.
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. Don't see a role that fits just yet? Send your resume to our Talent Acquisition Team for future opportunities! Who we are: We are a non-profit global technology company that develops innovative services for libraries. Together with member libraries, we connect people to the resources they need to learn and grow, and ultimately, to transform the world. We connect libraries to other libraries, making their work more efficient and effective. Our large-scale, high-performance cloud computing services enable libraries to share data, work, and resources to save money and better serve their communities. What we do: We are dedicated and passionate about libraries—and helping them change lives. Our goal is to provide innovative technologies for every library to help them meet the demands of a rapidly changing digital world. Our success depends on our ability to deliver new, high-quality features and stable, scalable solutions for libraries. Live our values: New ideas. Open dialog. Hard work. Recognition. Purpose. We offer a dynamic, fulfilling work environment that is productive, collaborative, innovative—and fun. We are consistently rated among the top employers within Central Ohio and across the IT landscape. There is a strong, team-based culture where everyone is appreciated and focused on common goals. You will make a difference. OCLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. If you are interested in applying for employment with OCLC and need special assistance or an accommodation to apply for a posted position, contact our Human Resources Department at +1-614-764-6000 or email at hr@oclc.org

