EPMO DATA ANALYST
Core
Design and implement data research programs and econometric models to monitor landlord payment integrity, client records, and population characteristics to improve housing stability and payment accuracy for NYC social services clients.
Role type
Senior IC data scientist (econometrics & data mining)
Builds
Data integrity monitoring systems, econometric models, and policy analysis reports for the Department of Social Services
Domain
Public sector social services (housing assistance, homelessness prevention)
Deliverable
production ML models | dashboards & analysis
Required skills
econometric modeling, data mining, statistical analysis, programming (scripting), literature review, system design guidance, ad-hoc querying, data repository design
Preferred skills
computer simulation modeling, quantitative assessment of service populations
Technologies
CurRent, POS, internal/external agency systems
Responsibilities
Develop econometric models to analyze client and landlord populations; design statistical methodology for studies on landlord-client interactions; develop data mining and programming techniques to enhance data accuracy; provide technical guidance to personnel on complex data sets; identify and secure access to relevant data systems; track and address systematic data integrity issues; conduct literature reviews and determine research priorities.
Seniority
Senior, hands-on IC with research leadership