$67,122.00 - $117,465.00; not specified; not speci...
Not specified
Advanced statistical analysis
Scalable analytic workflows
Databricks
The NC Department of Adult Correction is seeking a Data Scientist to support its Innovation and Analysis Section by conducting advanced statistical analyses and developing data pipelines and dashboards. The ideal candidate will possess expertise in Python, R, SQL, and Databricks, alongside experience in data visualization and working with public safety data
Job Summary
The Data Scientist supports the Innovation and Analysis Section by conducting advanced statistical analysis, developing scalable analytic workflows, and creating dashboards and interactive applications that inform decision-making across the Department of Adult Correction.
The role extracts, analyzes, and manages data from multiple systems; builds reproducible pipelines in Databricks; and develops analytic products that translate complex information into clear, actionable insights for stakeholders across secure facilities, field services, and administrative units.
The Innovation and Analysis Section is located within the Organizational Performance Division. Its primary mission is to drive data-informed decision-making and continuous improvement across the agency.
Matching Summary
Match Score: 85
The NC Department of Adult Correction is seeking a Data Scientist to support its Innovation and Analysis Section by conducting advanced statistical analyses and developing data pipelines and dashboards. The ideal candidate will possess expertise in Python, R, SQL, and Databricks, alongside experience in data visualization and working with public safety data.
Salary
$67,122.00 - $117,465.00; Not specified; Not specified
Skills & Requirements
Must-have
advanced statistical analysis
scalable analytic workflows
Databricks
Python, R, SQL, PySpark
Power BI products
R Shiny applications
Nice-to-have
criminal justice data experience
data governance practices
version-controlled workflows
continuous improvement
Key Requirements
Bachelor's degree and 5 years of experience
Equivalent combination of education and experience
Experience building data pipelines in Databricks
Proficiency in R and Python
Experience creating interactive web applications
Experience developing dashboards and visualizations