GIS Architect Intern

About Us Evergreen Investments is a real estate services company. We specialize in providing the best of two worlds, Market Intelligence and Real Estate Professional Services. Property owners are empowered to act quickly utilizing the market and data reports to inform what's best for their ownership model. For seasoned real estate investors, we supply service solutions that help them execute on their investment models. Our specialization covers residential to 100-unit multi-family properties, and land. We couple this with the best-in-class Brokerage, Property Management, and Investor Support Services which enables our users to quickly enter, grow, maximize, and resell their real estate assets for evergreen cycles of wealth creation. Job Description This is a remote position. Company Overview At Evergreen Investments, we empower individuals and families to make informed housing decisions by integrating financial principles and risk management into every stage of their real estate journey. Our mission is to democratize access to homeownership and investment opportunities through data-driven insights. We leverage Geographic Information Systems (GIS) to analyze location-specific risks and opportunities, transforming raw data into actionable intelligence for renters, buyers, and investors. Our proprietary middleware applications synthesize environmental, economic, supply, and demand factors to guide users from Level 0 (renters) to Level 7 (experienced investors). By combining public and private data sources, we build models that help users navigate complex real estate decisions with confidence. Job Description: GIS Architect Intern Reports to: Executive Team Location: Remote (U.S.-based) Type: Full-Time Role Overview As a GIS Architect, you will design and implement location intelligence systems that analyze risk factors for living, renting, buying, and investing in properties. You will lead cross-functional teams to collect, structure, and visualize spatial data, creating models that inform user decisions and drive our platform’s strategic direction. Key Responsibilities Data Acquisition & Integration Source, clean, and standardize real estate data from public (e.g., census, zoning records) and private (e.g., MLS, environmental sensors) repositories. Develop automated pipelines for data ingestion using Python and SQL. Algorithm Development & Testing Design algorithms to quantify risks (e.g., flood zones, market volatility) and opportunities (e.g., undervalued properties, growth corridors). Pilot models in small test groups, iterating based on user feedback. Spatial Analysis & Modeling Build tiered models (Level 0 to Level 7) that align with user expertise, from renters to advanced investors. Apply spatial statistics to identify correlations between location attributes (e.g., school districts, crime rates) and financial outcomes. Visualization & Communication Create interactive Mapbox dashboards with layered visualizations (e.g., heatmaps, choropleths) to highlight co-related risk factors. Translate technical insights into clear, compelling narratives for non-technical stakeholders. Team Leadership Coordinate with data engineers, real estate analysts, and UX designers to align GIS projects with business goals. Mentor junior team members on GIS best practices and tools. Requirements Core Skill Requirements Technical Expertise Advanced Programming: Proficiency in Python (Pandas, GeoPandas) and SQL for data manipulation, automation, and spatial analysis. GIS Platforms: Certification in ArcGIS or QGIS from a recognized provider (e.g., Esri, Coursera). Spatial Databases: Experience with PostGIS, SpatiaLite, or similar tools for managing geospatial data. Visualization Tools: Mastery of Mapbox, Tableau, or CARTO for building user-friendly dashboards. Algorithm Design: Ability to develop and validate predictive models using machine learning libraries (e.g., Scikit-learn). Domain Knowledge Real Estate Data: Experience scouring and structuring data from sources like Zillow, Realtor.com, or municipal databases. Risk Analysis: Understanding of environmental (flood, wildfire), economic (interest rates, employment trends), and market (supply/demand) risk factors. Soft Skills Collaboration: Ability to lead cross-functional teams and communicate complex concepts to diverse audiences. Critical Thinking: Aptitude for identifying biases in data and refining models to improve accuracy. Agile Methodology: Experience with iterative project management frameworks to prioritize tasks and meet deadlines. Training & Experience Requirements Education: Bachelor’s or Master’s in GIS, Computer Science, Urban Planning, or a related field. Certifications: GIS Professional (GISP) or Esri Technical Certification (preferred). Advanced coursework in spatial statistics or real estate analytics. Work Experience: 3+ years in GIS roles with a focus on real estate, urban development, or risk management. Portfolio demonstrating Mapbox/ArcGIS visualizations and algorithm-driven projects. Glossary GIS: Geographic Information Systems (software for capturing, analyzing, and visualizing spatial data). MLS: Multiple Listing Service (database of real estate listings). Agile: Project management methodology emphasizing iterative development and collaboration. This role is ideal for a problem-solver passionate about merging geospatial innovation with real estate accessibility. Let’s build the future of housing intelligence together. Evergreen Investments is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.