Library Data Scientist

Description

It's rare for anyone to fulfill every criterion perfectly, we strongly encourage you to apply if your experience and skills align well with the qualifications mentioned.

Responsibilities & Requirements

Reporting to the Associate Dean, Content Services, the Library Data Scientist will manage the import, analysis, and presentation of library data from various sources to promote data-driven decision-making and operational efficiency. Responsibilities include working closely with library departments to identify and provide data insights, loading and compiling data from library vendors, and creating data visualization tools and dashboards. 

• Conduct data extraction, cleaning, and transformation to ensure consistency and accuracy.
• Identify and engage with University stakeholders who would benefit from data analysis and visualization services.
• Stay current on industry best practices and trends in data analysis and visualization.
• Develop and maintain interactive data visualization dashboards tailored for different audiences.
• Perform statistical analysis and machine learning techniques on large datasets to derive insights.
• Coordinate and manage multiple projects and collaborate with library units
• Load vendors/providers data into library systems for processing and reporting.
• Lead annual national reporting efforts across the library organization.
• Conduct quality checks on library data, sorting and compiling as needed.
• Recommends, implements, and maintains emerging technologies and solutions.
• Document methodologies and best practices for reproducibility and institutional knowledge.
• Participates in library, campus, regional, and national committees.
• Contributes to the field through research, presentations, and scholarship.
• Guides the division in continuously reviewing products and conducting quality assurance activities to enhance the user experience consistently.

 

About the Libraries

The University Libraries are an essential partner in Stony Brook University’s mission of global leadership in research, discovery, and learning, positioning ourselves as the hub of collaboration, digital innovation, open scholarship, and creativity.  We provide the best possible access to a wide-range of resources in multiple formats and world-renowned special collections and actively contribute to student success and faculty productivity through teaching and research services in alignment with the University’s strategic priorities.  Our strategic vision is to embrace innovation and AI as key components in achieving our goals.  As the largest academic research library on Long Island, the Libraries serve as a vital resource for regional and global communities. The Libraries’ strategic plan can be found here:

https://guides.library.stonybrook.edu/strategic-plan-2024

The University Libraries play a key role in advancing the University’s commitment to furthering diversity, equity, inclusion, and accessibility in our spaces, collections, services, and outreach. We have a strong commitment to diversity, equity, inclusion, and accessibility values in our hiring, training, and daily work practices where differences are acknowledged, respected, and celebrated.  We welcome candidates who genuinely embrace the empathy, courage, self-reflection, and intentionality of a diverse and inclusive workplace to apply. 

 

 

Qualifications

Required Qualifications
Relevant Master’s or other advanced degree (foreign equivalent or higher) with a combination of education and experience commensurate with the requirements of this position.

Preferred Qualifications
Experience with statistical software and platforms such as Stata, SPSS, SAS. Familiarity with programming languages such as R, Python, etc. Experience with machine learning (ML) capabilities and frameworks, such as TensorFlow, Keras, Scikit-learn, PyTorch, or similar. Competency in data manipulation, analysis and visualization using tools such as Excel, PowerBI, Tableau or the like. Experience in building and validating predictive models to forecast trends and behaviors. Knowledge of library management systems, particularly Ex Libris’ Alma/Primo. Interest in leveraging emerging technologies, including artificial intelligence (AI), to streamline processes and enhance discoverability. Record of professional activities, including scholarly activity, presentations, or engagement in professional organizations to achieve tenure requirements. Interest in leveraging emerging technologies, including artificial intelligence, to streamline processes and enhance discoverability.

Application Instructions

Special Notes