Junior Data Scientist
Core
Junior Data Scientist supporting the development of analytical capabilities for commercial real estate markets across the Americas by producing rigorous, insight-driven work on market trends and investment insights.
Role type
Junior Data Scientist (Real Estate Economics & Urban Analysis)
Builds
Analytical products for Cushman & Wakefield's House View and related products for key clients
Domain
Commercial Real Estate, Urban Economics, Geospatial Analysis
Deliverable
production ML models | dashboards & analysis
Required skills
Econometric and statistical methods (time series, regression, spatial econometrics), Geospatial data integration (GIS tools, parcel data, demographic overlays), Python/R for data analysis and pipeline construction, SQL, Data pipeline maintenance and validation, Public dataset integration (Census, BLS, IPUMS)
Preferred skills
Master's degree, Doctoral degree, Cloud platforms (Azure, AWS), Version control, ML/AI methods
Technologies
Python, R, SQL, ArcGIS, QGIS, Azure, AWS, Census TIGER, IPUMS, LODES, NLCD, Overture Maps
Responsibilities
Conduct quantitative analysis on commercial real estate markets using econometric methods; Integrate geospatial data and methods into analytical workflows; Build and maintain automated data pipelines for CRE and macroeconomic datasets; Develop and maintain internal documentation covering data sources and model architecture; Support ad hoc analytical requests from senior stakeholders
Seniority
Junior, hands-on IC
