Remote Geospatial Data Scientist Jobs in New York City

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.