Data Scientist

District of Columbia Courts•Washington, DC

23h

About The Position

This position is located in the Strategic Management Division of the District of Columbia Courts, which develops innovative strategies and evidence-based information to inform policy, enhance the administration of justice, and improve court services. The Data Scientist supports efforts to build the Courts’ capacity to develop, collect, analyze, and report data for evidence-based decision-making. The incumbent develops computational algorithms and statistical methods to identify patterns and relationships across databases; creates and manages scripts, queries, and software code; and designs, builds, and tests data and predictive models. The role applies predictive modeling and machine-learning techniques to improve program and operational processes and data quality, and provides data-driven insights and recommendations to the Courts and stakeholders. The position applies computational and machine-learning methods to new or large datasets; reviews court-wide caseload data for quality; consults with court personnel to resolve discrepancies; and prepares performance analyses and reports. It also develops and maintains data pipelines, scripts, documentation, analytical methods, and business-intelligence analyses, while supporting data governance through appropriate data handling, documentation, and access controls. The Data Scientist works with IT and other Court divisions to maintain data integrity and communicates statistical or technical information to nontechnical audiences using visualization tools.

Requirements

Bachelor’s degree from an accredited university or college.
At least five years of experience collecting and analyzing data using databases and PC software to prepare statistical reports.
Upload a college transcript or degree showing the institution and applicant name, degree-conferred date, courses and credit hours, major(s), and GPA or class ranking.
Applicants relying on foreign education must upload a Certificate of Foreign Equivalency with their transcript.
A background and security investigation is required.
Successfully complete a one-year probationary period.
Be committed to working with a diverse group of Court personnel and customers and to the DC Courts’ values of Accountability, Excellence, Fairness, Integrity, Respect, and Transparency.

Responsibilities

Develop computational algorithms and statistical methods to identify patterns and relationships across multiple database sources.
Develop, manipulate, and manage scripts, queries, or software code to complete specific requirements or tasks.
Design, build, and test data models, algorithms, and predictive models.
Use predictive modeling and machine-learning techniques to improve program and operational processes and overall data quality.
Provide data-driven insights that inform process and operational recommendations for the Courts and stakeholders.
Apply computational and machine-learning methods to new or large datasets using analytical tools.
Conduct data-quality reviews of court-wide caseload data from the enterprise data warehouse and major case-processing systems.
Consult with directors, managers, and data points of contact about discrepancies and work to resolve them; draft performance analyses and reports.
Develop and maintain data pipelines, scripts, documentation, and analytical methods for long-term usability, transparency, and organizational knowledge sharing.
Provide scientific, statistical, and technical consultation on applicable practices and new techniques.
Support enterprise data governance through proper data handling, documentation, access controls, and participation in processes that enable secure and efficient data use.
Develop and execute business-intelligence analyses and reports for the Courts.
Work with IT and other Court divisions to ensure data integrity.
Analyze datasets using programming and data-processing tools, and use data-visualization tools to generate reports and communicate technical information to nontechnical audiences.