
Junior Data Scientist
Posted Jun 25

Posted Jun 25
This is a fully remote position, open to applicants in Colorado, +2 more states.
• Perform in-depth quantitative analyses of commercial real estate markets, integrating property, macroeconomic, and urban data to identify market trends, structural changes, and investment-related insights.
• Utilize econometric and statistical techniques (such as time series modeling, regression, spatial econometrics, or similar) to address real estate and labor market inquiries in support of QIG research initiatives.
• Incorporate geospatial data and methodologies into analytical processes.
• Develop and sustain automated data pipelines for the ingestion, transformation, and storage of CRE and macroeconomic datasets utilized in analytical models.
• Maintain data integrity and consistency across QIG inputs and outputs through validation, quality control measures, and structured data interfaces.
• Create and update internal documentation detailing data sources, model architecture, data flows, and diagnostic procedures.
• A Bachelor’s degree in Economics, Data Science, Real Estate, Applied Economics, Geography, Urban Planning, or a closely related field with a quantitative focus.
• 2 to 6 years of experience in a research, analytical, or data science role, ideally within the realms of real estate, urban policy, planning, or economic research.
• Strong proficiency in quantitative methodologies: regression, time series analysis, spatial econometrics, or similar approaches applied to real estate or urban economic issues.
• Familiarity with geospatial data and techniques: experience with GIS tools (ArcGIS, QGIS, or programmatic methods using R or Python).
• Expertise in Python and/or R for data analysis, modeling, and pipeline development; basic knowledge of SQL.
• Understanding of cloud platforms (Azure, AWS) and version control is advantageous.
• Experience with public datasets commonly utilized in urban and real estate research, such as Census products (ACS, TIGER, LODES), BLS, IPUMS, or similar.
• Health, vision, and dental insurance.
• Flexible spending accounts.
• Health savings accounts.
• Retirement savings plans.
• Life and disability insurance programs.
• Paid and unpaid time off from work.
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