We are seeking an experienced Spatial Data Scientist / Geospatial Analyst to join our team. The ideal candidate will have a strong background in geospatial analytics, data science methodologies, and hands-on experience with geospatial tools and data platforms. This role requires a highly analytical professional capable of scoping, conducting, and completing complex spatial data analyses to support decision-making across infrastructure, energy, and data center projects.

Key Responsibilities

Perform advanced spatial data analysis using GIS and related tools to extract insights and support project objectives.
Develop and implement data models and analytical frameworks for geospatial and remote sensing data.
Work with large and complex datasets from diverse sources including LiDAR, imagery, and remote sensing data.
Utilize Python, SQL, GeoPandas, and related libraries to perform data wrangling, cleaning, and visualization.
Collaborate with cross-functional teams to define analysis scope, methodologies, and deliverables.
Implement solutions leveraging cloud-based analytics and geospatial data storage platforms.
Communicate findings through visualizations, dashboards, and reports to technical and non-technical stakeholders.

Required Qualifications

8+ years of professional experience as a Data Scientist or Geospatial Analyst.
Master’s degree in Data Science, Geospatial Analytics, Geography, Environmental Science, Computer Science, or a related field.
Proficiency in Python, SQL, and geospatial libraries such as GeoPandas, Shapely, and GDAL.
Experience with remote sensing, LiDAR, or image analysis workflows.
Hands-on experience with cloud-based analytics platforms (e.g., AWS, Azure, or Google Cloud) and geospatial data storage systems.
Strong analytical, problem-solving, and communication skills.
Prior experience supporting infrastructure, energy, or data center projects is highly desirable.