Geospatial Data Scientist

Perceptive Companies, LLC is seeking a Geospatial Data Scientist to unlock the power of spatial analytics in real estate strategy and design. This is a remote, contract-based role for a highly skilled professional with expertise in geospatial analysis, data visualization, and predictive modeling. You will work at the intersection of urban planning, demographic trends, and market dynamics to inform real estate decisions that drive transformative outcomes.

Key Responsibilities:

  • Analyze spatial data to uncover patterns, correlations, and insights that inform real estate investment and development strategies.

  • Build and refine geospatial models and tools to predict urban growth, market demand, and optimal site locations for development projects.

  • Utilize tools such as GIS (ESRI, QGIS), Python, and R to manage, clean, and analyze large geospatial datasets.

  • Integrate demographic, psychographic, and economic data with geospatial information to support comprehensive real estate market studies.

  • Conduct geospatial visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Plotly, Folium) to communicate insights effectively.

  • Collaborate with multidisciplinary teams to translate geospatial findings into actionable recommendations for master planning and asset optimization.

Qualifications:

  • Advanced degree (Master's or higher) in Geographic Information Systems, Data Science, Urban Planning, Economics, or a related field.

  • Proven expertise in geospatial analysis, mapping, and visualization.

  • Proficiency in programming languages such as Python, R, or SQL for spatial analysis and data manipulation.

  • Hands-on experience with GIS software (ESRI, QGIS) and geospatial databases (PostGIS, Google Earth Engine).

  • Strong analytical skills and attention to detail, with the ability to synthesize complex datasets into clear insights.

  • Knowledge of real estate investment principles, urban planning frameworks, and economic forecasting.

  • Ability to work independently, manage deadlines, and deliver high-quality results in a collaborative environment.

Preferred Skills:

  • Experience with machine learning and AI for geospatial data, including spatial clustering and predictive modeling.

  • Familiarity with coding workflows in tools like Grasshopper, Rhino, or Dynamo for urban planning and design.

  • Expertise in psychographic and demographic research.

  • Knowledge of dynamic optimization techniques for urban systems.