Patron Insights Quantitative Data Scientist

New York Public Library; New York (NY); On-site; USD 90,000 - 100,000; Full time

Job summary

New York Public Library is seeking a Patron Insights Researcher, Quantitative Research, to advance data-driven understanding of patron interactions and impact. You will translate programmatic questions into actionable analyses, leveraging R or Python and SQL across large datasets.

The role reports to the Patron Insights & Analytics team and supports data-informed decisions across the Library. The position is full-time at the Stephen A. Schwarzman Building with a hybrid work arrangement.

Qualifications

• 3+ years of hands-on professional experience in research and data analysis.
• Proven experience processing and analyzing data with languages such as R, Python, and SQL.

Responsibilities

• Conduct in-depth analyses of patron datasets to derive insights and metrics for institutional tracking.
• Communicate findings to stakeholders in clear, non-technical terms and provide actionable guidance.
• Collaborate to build and maintain an analytical codebase using R or Python and version control.
• Maintain data processing pipelines and support data lake transition projects.
• Develop survey data analysis pipelines for consistent, rigorous analyses.

Skills

R

Python

SQL

Statistical analysis

Data visualization

Communication

Independent delivery

Education

Bachelor's degree

Tools

Git

Relational databases

Job description

New York Public Library is seeking a Patron Insights Researcher, Quantitative Research, to advance data-driven understanding of patron interactions and impact. You will translate programmatic questions into actionable analyses, leveraging R or Python and SQL across large datasets.

The role reports to the Patron Insights & Analytics team and supports data-informed decisions across the Library. The position is full-time at the Stephen A. Schwarzman Building with a hybrid work arrangement.