What are the responsibilities and job description for the Geospatial Data Science Engineer position at Esri?
Overview
The ArcGIS platform is a cutting-edge spatial data science platform, integrating specialized geospatial tools and open-source components to empower users in developing workflows that drive modern business success. Our team seeks an experienced engineer who can bridge the gap between research and user-facing data science platforms, leveraging innovations in columnar databases and efficient analytic operations across CPU/GPU boundaries.
Responsibilities
• Spearhead the expansion of our Python data science capabilities within ArcGIS
• Design the integration of geospatial data exploration and analysis pipelines with innovative data science technologies
• Represent a diverse range of data science users working at the intersection of spatial analysis and broader data science workflows
• Collaborate with multiple teams to design, implement, and deploy technologies within ArcGIS products
Requirements
• 5 years of practical experience solving complex problems using various data science tools
• Extensive experience with data frames such as Pandas, Geopandas, R, or polars
• Experience with Notebooks and their use in data science projects
• Strong communication skills, including conveying complex topics to non-technical audiences
• Bachelor's degree in computer science, geography, statistics, mathematics, physics, or a related field
The ArcGIS platform is a cutting-edge spatial data science platform, integrating specialized geospatial tools and open-source components to empower users in developing workflows that drive modern business success. Our team seeks an experienced engineer who can bridge the gap between research and user-facing data science platforms, leveraging innovations in columnar databases and efficient analytic operations across CPU/GPU boundaries.
Responsibilities
• Spearhead the expansion of our Python data science capabilities within ArcGIS
• Design the integration of geospatial data exploration and analysis pipelines with innovative data science technologies
• Represent a diverse range of data science users working at the intersection of spatial analysis and broader data science workflows
• Collaborate with multiple teams to design, implement, and deploy technologies within ArcGIS products
Requirements
• 5 years of practical experience solving complex problems using various data science tools
• Extensive experience with data frames such as Pandas, Geopandas, R, or polars
• Experience with Notebooks and their use in data science projects
• Strong communication skills, including conveying complex topics to non-technical audiences
• Bachelor's degree in computer science, geography, statistics, mathematics, physics, or a related field
