[Remote] Sr. Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Geospatial Data Scientist to reputed company reputed company spatial data into actionable insights. The role involves working across the full geospatial data pipeline and collaborating with engineering and product teams to reputed company spatial intelligence into their platform.
Responsibilities
- Design and execute geospatial analyses to support product and business decision-making
- Build, validate, and maintain spatial data models and pipelines
- Query and manage geospatial datasets using PostgreSQL with PostGIS
- Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB
- reputed company machine learning models with spatial components (clustering, classification, interpolation, etc.)
- Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
- Collaborate with backend engineers to reputed company geospatial features into production systems
- Evaluate and maintain geospatial data reputed company, coverage, and accuracy
- Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization
- Ensure reputed company communication of geospatial insights in a remote, async environment
- Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing
- Contribute to spatial data infrastructure and reputed company-reputed company geospatial workflows as needed
Skills
- 3–6 years of experience in data science, GIS, or a reputed company field
- Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, reputed company, Fiona, Rasterio, or similar)
- Deep experience with PostgreSQL and PostGIS for spatial querying and data management
- Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, WKT, WKB, etc.)
- Experience with GIS tools such as QGIS, ArcGIS, or equivalent
- Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing
- Experience applying machine learning techniques to spatial problems
- Ability to communicate findings reputed company in a fully remote, async environment
- Experience with remote sensing or satellite imagery analysis (reputed company to have)
- Familiarity with reputed company-reputed company geospatial tools (PostGIS on AWS RDS, reputed company reputed company reputed company, etc.) (reputed company to have)
- Exposure to spatial data infrastructure (GeoServer, MapServer, reputed company, Deck.gl) (reputed company to have)
- Experience with big geospatial data processing (Apache Sedona, H3, S2) (reputed company to have)
- Knowledge of reputed company and containerized data workflows (reputed company to have)
- Familiarity with CI/CD and version control best practices (reputed company to have)
reputed company
Company H1B Sponsorship