Associate Data Scientist
About The Position
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. As an Associate Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Requirements
- Bachelor’s in a quantitative field (e.g., Engineering/CS/Math/Stats) + 2+ years in a data science role or Master’s + 1+ year in a data science role
- Proficient in SQL for data warehouses
- Intermediate Python proficiency (pandas/numpy, scikit-learn; visualization with matplotlib/seaborn/plotly)
- Experience applying statistical and machine learning methods; solid grounding in probability and statistical inference
- Experience with hypothesis testing and designing/analyzing experiments
- Exposure to cloud environments and software engineering best practices (e.g., Git, code reviews, testing)
- Strong data storytelling and communication skills; comfortable working in agile, collaborative teams
Responsibilities
- Maintain OCLC’s data platform with up-to-date, quality data
- Translate business problems to technical requirements to design rapid prototypes of reports and dashboards
- Build and maintain data models, reports, dashboards, and KPI/metrics from internal databases
- Write performant code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code review.
- Perform exploratory data analysis for quality assurance, reporting, and to inform the development of statistical and machine learning models
- Implement the DataOps philosophy in everything you do
- Create and maintain documentation for data science initiatives and data resources
- Collaborate with Data Scientists to drive efficiencies for their work
Benefits
- Competitive compensation that reflects your unique contributions—performance, experience, and skills
- Exceptional benefits, including best-in-class health coverage
- Retirement plans with generous company contributions
- A commitment to your overall well-being
- 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
- Public Service Loan Forgiveness eligibility
- Company-subsidized pricing on local tickets and memberships
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
