Role overview

Qualifications

3–6 years of experience in data science, GIS, or a related field
Strong proficiency in Python for data analysis and modeling
Deep experience with PostgreSQL and PostGIS for spatial querying and data management
Familiarity with geospatial standards and formats

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
Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders

Key facts

Remote from: Georgia (USA)
Fixed term
Senior (5-10 years)
Data Scientist
English

Hard skills

Geospatial Analysis Python (Programming Language) PostgreSQL Machine Learning Data Science Geographic Information Systems PostGIS Geojson Shapefile ArcGIS (GIS Software) Coordinate Systems Indexing Remote Sensing GeoServer Mapbox Deck.gl Apache SINGA CI/CD Version Control

Other skills

Communication

About the company

Metasys Technologies

Metasys is a global digital consulting firm that specializes in delivering solutions across a variety of business functions, including HR, Procurement, Marketing, Finance, and Technology. With over twenty-five years of experience, we have helped companies of all sizes—from agile startups to established enterprises—achieve sustainable growth and operational efficiency. Our focus on best-in-class practices, cost-efficient strategies, and scalable support has enabled us to become a trusted partner to companies looking to transform their operations and scale effectively. Metasys is a portfolio company of Arkview Capital, a leading private equity firm.

Company details

Company typeSME

Company size501 - 1000

Links

Website LinkedIn See all jobs

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Job description

Geospatial Data Scientist (1 Position)
Remote Role
Duration:12+months

We are looking for a Geospatial Data Scientist to turn complex spatial data into actionable insights. You will work across the full geospatial pipeline — from data ingestion and processing to analysis, modeling, and visualization — and collaborate closely with engineering and product teams to embed spatial intelligence into our 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
Develop machine learning models with a spatial component (clustering, classification, interpolation, etc.)
Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
Collaborate backend engineers to integrate geospatial features into production systems
Evaluate and maintain geospatial data quality, coverage, and accuracy

Requirements

3–6 years of experience in data science, GIS, or a related field
Strong proficiency in Python for data analysis and modeling (GeoPandas, Shapely, 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, 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 clearly in a fully remote, async environment

Nice to Have

Experience with remote sensing or satellite imagery analysis
Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.)
Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl)
Experience with big geospatial data processing (Apache Sedona, H3, S2)
Knowledge of Docker and containerized data workflows
Familiarity with CI/CD and version control best practices

Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.