Junior Data Scientist

🔥 0 minutes ago

⛰️ Colorado, Illinois, +1 more states – Remote

⛰️ Colorado – Remote 🌽 Illinois – Remote 🤠 Texas – Remote

💵 $114.8k - $135k / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

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Cushman & Wakefield

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1917

🏠 Real Estate

🏢 Enterprise

Real Estate • Enterprise • Logistics

Cushman & Wakefield is a global leader in commercial real estate services, providing a wide range of services including agency leasing, asset services, capital markets, global occupier services, project and development services, tenant representation, and valuation and advisory for various industries such as logistics and industrial, multifamily, retail, life sciences, data centers, and healthcare. The company is committed to driving forward for clients, colleagues, and communities with a focus on diversity, equity, and inclusion, as well as environmental, social, and governance principles. Operating in over 60 countries with 52,000 professionals, Cushman & Wakefield consistently delivers insights and research, such as market reports and sustainability efforts.

📋 Description

• Conduct rigorous quantitative analysis on commercial real estate markets, synthesizing property, macroeconomic, and urban data to surface market trends, structural shifts, and investment-relevant insights • Apply econometric and statistical methods (time series modeling, regression, spatial econometrics, or similar) to real estate and labor market questions in support of QIG research products • Integrate geospatial data and methods into analytical workflows • Build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in analytical models • Ensure data integrity and consistency across QIG inputs and outputs through validation, quality control procedures, and structured data interfaces • Develop and maintain internal documentation covering data sources, model architecture, data flows, and diagnostic procedures

🎯 Requirements

• Bachelor’s degree in Economics, Data Science, Real Estate, Applied Economics, Geography, Urban Planning or any closely related field with quantitative emphasis • 2 to 6 years of experience in a research, analytical, or data science role, preferably in a real estate, urban policy, planning, or economic research context • Strong command of quantitative methods: regression, time series analysis, spatial econometrics, or comparable approaches applied to real estate or urban economic questions • Working knowledge of geospatial data and methods: experience with GIS tools (ArcGIS, QGIS, or programmatic approaches via R or Python) • Proficiency in Python and/or R for data analysis, modeling, and pipeline construction; working knowledge of SQL • Familiarity with cloud platforms (Azure, AWS) and version control is a plus • Experience working with public datasets commonly used in urban and real estate research: Census products (ACS, TIGER, LODES), BLS, IPUMS, or similar

🏖️ Benefits

• health, vision, and dental insurance • flexible spending accounts • health savings accounts • retirement savings plans • life, and disability insurance programs • paid and unpaid time away from work