Cushman & Wakefield · 3 hours ago
Head of Data Science & Geo Spatial Analytics
Washington, DC
Full-time
Onsite
Director/Executive
$204K/yr - $240K/yr
7+ years expCushman & Wakefield is a leading firm in commercial real estate, seeking a Head of Data Science & Geospatial Analytics to drive their data strategy and analytical capabilities. The role involves leading a team of data scientists, developing innovative analytical frameworks, and advising on quantitative methodologies to enhance the firm's analytical brand.
CommercialCommercial Real EstateConsultingLeasingLegalProperty Management
Responsibilities
Multi-disciplinary expert on quantitative and technical matters related to CRE, with strategic advisory to all analytical endeavors as appropriate
Expert on public and private data sources, including microdata and geospatial associations
Develop and implement new framework for analyzing real estate markets, with a whole-of-real-estate and whole-of-data approach
Innovate creative solutions and incubate new analytical methods, tools or products
Advise and develop data strategy in partnership with Head of Quantitative Insights & Principal Economist, TDS, PRI and other relevant stakeholders, including appropriate data vendors, public data, and proprietary data. Strategy will include geospatial components, estimation techniques, database structure, normalization and other elements of best-in-class research data planning
Deploy Places Lens and other appropriate classification layers to data architecture and ensure base level of capabilities from partnership are met (e.g., Risk/Reward matrix, Places Score, HALO, etc.). Partner with the Head of Forecasting as appropriate to ensure consistent analytical product delivery
Identify opportunities for new research, R&D and innovation that add value to Cushman & Wakefield as well as its clients
Over time, partner with Head of Quantitative Insights & Principal Economist and team to identify white space in analytical/advisory business where platform can add value to new clients (e.g., CMBS/MBS credit analysts, etc.) and integrate vision into analytical capabilities, research and publication
Strategic Advisor for quantitative methodologies deployed throughout the firm (e.g., best practices for labor analytics employed by Consulting). Partner with Head of Commercial Analytics as needed to integrate methodologies into [automated] practice. Ensure best-in-class methodological documentation practices are followed
Partner with internal and external technology and data partners to identify strategic opportunities to augment or refine data (e.g., Linnaean) for research/analytical purposes. Where appropriate, lead specific opportunities
Provide advisory to Head of Quantitative Insights & Principal Economist and team on quantitative endeavors (e.g., key advisor to FVI/FVR and TIME Score methodologies)
Expert on macro (economy, financial, demographics) •and• micro (urban planning/zoning, land-use, regional economy, TOD) reals that affect CRE
Partner with Think Tank and Americas Research on thought leadership that promotes brand value, with emphasis on novel analytical findings, differentiation and tactical/strategic white papers, often with an academic tilt. [Generally aiming for one report year where Head of Quantitative Insights & Principal Economist team is main author and content is novel analytical findings and strategic implications. Otherwise, support other efforts as appropriate, but not as main author.]
Brand ambassador at industry events and with the media
Serve as a client-facing resource as a key spokesperson on strategic implications of research findings
Point of contact for all “RRE” matters
Oversee team of quantitatively-oriented SMEs, including those with strong econometric, ML/AI, and GIS/geospatial orientations
Manage complicated workstreams among self and team, often involving multiple stakeholders across teams
Qualification
Required
Ph.D or Master's degree in Economics, Applied Economics, Statistics, Finance, Real Estate, Urban/Regional Planning, Public Policy or in a related field preferred
7-10 years of experience in time-series analysis and forecasting
Experience with architecting and engineering econometric/forecasting modeling infrastructure
Expertise in various econometric modeling techniques, time series analysis, panel data, and ML/AI
Experience with or with managing GIS analysis, geospatial econometric analysis
Proficiency in one or more programming languages (Eviews, R, Python)
Exceptional written and oral communication skills
Excellent presentation skills and client-facing expertise
Ability to work effectively at all levels of the organization in pursuit of business development
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
Company
Cushman & Wakefield
Cushman & Wakefield is a real estate services firm that offers retail investment, energy management, and property services.
10001+ employees
H1B Sponsorship
Cushman & Wakefield has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (6)
2023 (2)
2022 (6)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$734.8MKey Investors
GreystoneCitizens BankVanke
2023-10-10Post Ipo Debt· $223.8M
2023-08-08Post Ipo Debt· $400M
2022-10-13Post Ipo Debt· $27.3M
Leadership Team
Matthew Bouw
CEO Asia Pacific & EMEA
Michelle M. MacKay
CEO
Recent News
2026-01-22
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-01-22
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