Remote Geospatial Data Scientist Jobs in New York City
Description
Remote Geospatial Data Scientist Jobs in New York City
Shape the Future of Data-Driven Mapping — From Anywhere
Step into a pivotal role where your geospatial data and analytics skills directly shape how organizations interact with the world around them. As a Remote Geospatial Data Scientist based in New York City, you'll be empowered to deliver meaningful insights while enjoying the flexibility of remote work. This opportunity is tailor-made for analytical thinkers who thrive in location intelligence, spatial analysis, and cutting-edge geospatial solutions.
Key Responsibilities of a Remote Geospatial Data Scientist
- Develop, refine, and deploy advanced geospatial models using satellite imagery, drone data, and GIS systems.
- Analyze spatial datasets to generate actionable intelligence for urban planning, logistics optimization, and environmental monitoring.
- Design and automate workflows for geospatial data processing using Python, R, or other data science tools
- Collaborate with remote analytics teams to transform data into visually impactful maps, dashboards, and reports.
- Maintain data pipelines and ensure spatial datasets' accuracy, cleanliness, and relevance across multiple sources.
- Apply machine learning techniques to spatial problems such as land use classification, anomaly detection, and predictive mapping.
- Support product teams in integrating geospatial intelligence into mobile and web applications
Remote Work Environment and Team Collaboration
Experience a work culture built for digital efficiency and human connection. As part of a globally distributed team:
Digital Communication Tools
- Collaborate via Slack, Zoom, and cloud-based platforms in a supportive, time-zone-friendly structure.
Agile Workflow Culture
- Join weekly sprints where spatial data solutions meet cross-functional innovation
- Enjoy asynchronous workflows that promote productivity without burnout
Project Focus Areas
- Contribute to high-impact remote sensing and location analytics projects
Tools and Technologies Used in Geospatial Data Science
We provide you with access to the latest technologies in geospatial computing and data science:
Programming Languages and Libraries
- Python (GeoPandas, Rasterio, Scikit-learn)
- R (sf, tidyverse)
Geospatial Platforms and Databases
- ArcGIS Pro, QGIS, PostGIS
Cloud and Remote Sensing Solutions
- AWS (Lambda, S3, SageMaker), Google Earth Engine
Visualization and Mapping Tools
- Tableau, Leaflet, Kepler.gl, Mapbox
Development and Data Pipeline Tools
- Jupyter Notebooks, Git, Docker, and CI/CD pipelines
Required Qualifications and Skills for Success
To succeed in this role, you should bring both technical acumen and a passion for data storytelling:
- Bachelor’s or Master’s degree in Geospatial Science, Data Science, Environmental Engineering, or related field
- 3+ years of experience in geospatial data science, remote sensing, or geoinformatics
- Proficiency in spatial analytics, image processing, and geostatistics
- Demonstrated experience with cloud-based geospatial workflows and distributed computing
- Ability to translate complex geospatial data into clear visual insights and strategic recommendations
- Exceptional problem-solving skills with an eye for geographic patterns and spatial relationships
Compensation and Benefits Overview
- Annual Salary: $134,280
- Fully remote role with flexible working hours
- Opportunities to work on impactful projects involving climate data, urban expansion, and smart city innovation
- Continued professional development through online courses, certifications, and internal knowledge exchanges
- A collaborative, transparent culture that values curiosity, autonomy, and ethical data practices
Real-World Impact of the Geospatial Data Scientist Role
Your work will directly influence environmental resilience, transportation efficiency, and public safety in urban landscapes.
Examples of Impact
- Detecting flood risks through terrain mapping
- Optimizing last-mile delivery through spatial clustering
- Bringing clarity to complex geographies through geospatial intelligence
Ideal Candidate Profile: Who Excels in This Role
This role is perfect for professionals who:
- Excel at working independently while remaining connected with virtual teams
- Enjoy designing spatial models with measurable outcomes
- Value precision, creativity, and the meaningful application of technology
- Are excited by satellite analytics, spatial data wrangling, and cloud geoprocessing
- Seek a balance between technical rigor and purpose-driven outcomes
Career Growth and Advancement Opportunities
We invest in your long-term success. As you grow in this role, you’ll have the chance to:
Opportunities for Advancement
- Lead projects involving geospatial artificial intelligence and edge computing
- Contribute to open-source geospatial libraries
- Mentor junior data scientists and shape best practices across the team
- Present findings at geospatial and data science conferences
Call to Action: Apply Today
Take the next step and become part of a visionary team where spatial intelligence drives global impact — all from the comfort of your remote workspace. Let’s map a brighter, more connected future together.