Senior Data Scientist

Senior Data Scientist page is loaded## Senior Data Scientist locations:
Dublin, OH / Hybrid time type:
Full time posted on:
Posted Todayjob requisition :
R0003733#
** 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.# 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:
** Data Engineers are responsible for bringing robust, efficient, and integrated data models and products to life and sit at the intersection of business teams, Data Analysts, and Software Engineers.
** Responsibilities
* ** Help promote data innovation across OCLC with a willingness to experiment and to confront hard and complex problems
* Expertise in designing and developing distributed data pipelines using modern data technologies, demonstrated with years of proven experience
* Ship large features and foundational improvements with minimal guidance and support from other team members
* Support other data team members with the shipping of new features by setting direction and providing guidance
* Solve technical problems of the highest scope and complexity
* Exert significant influence on long-range goals of the team
* Recognized leader of the Enterprise Metadata Platform, a scalable resource to support Self-Service and Single-source-of-truth analytics
* Implement the Data Ops philosophy in everything you do
* Define and extend our internal standards for style, maintenance, and best practices for a large-scale data platform
* Interact with internal customers and stakeholders as a consultant and spokesperson for the work of your team
* Provide mentorship for all on your team to help them grow in their technical responsibilities
* Organize and Plan multi-quarter initiatives and develop the Enterprise Model Roadmap
* Propose ideas to improve the scale, performance, and capabilities of the Data Platform
* Regularly participate in the Data Community/Industry outside of OCLC through writing, speaking, and/or networking
** Qualifications
* ** Minimum of a bachelor's degree in a Computer Science-related discipline required and 6+ years of software development and data design experience
* 4+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment
* Professional experience…