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Geospatial Information Science Jobs in New York (NOW HIRING)

You will work across the full data science lifecycle (problem framing, analysis, measurement, and ... geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)

Senior Data Engineer

New York, NY ยท On-site

$100K - $175K/yr

We've assembled leading climate scientists and economists to develop transparent, peer-reviewed ... Provide technical support in the processing, analysis, and interpretation of geospatial ...

Net Developer (GIS)

New York, NY ยท On-site

$60 - $70/hr

Bachelor's degree in Computer Science, Software Engineering, Information Systems, GIS, or a related ... Experience working with geospatial data types in Microsoft SQL Server, Oracle/Oracle Spatial, and ...

Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities ... In this role, you will drive geospatial data and tooling needs for a large-scale project. You will ...

Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities ... In this role, you will contribute to driving geospatial data and tooling needs for a large-scale ...

Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities ... In this role, you will drive geospatial data and tooling needs for a large-scale project. You will ...

Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities ... In this role, you will contribute to driving geospatial data and tooling needs for a large-scale ...

Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities ... In this role, you will contribute to driving geospatial data and tooling needs for a large-scale ...

Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities ... In this role, you will drive geospatial data and tooling needs for a large-scale project. You will ...

GIS Technician

Bridgewater, NJ ยท On-site

$58K - $65K/yr

For more information, visit: www.gpinet.com Responsibilities: GIS Data Management & Spatial ... Perform geospatial analysis and geoprocessing to meet project goals. * Develop, update, and ...

Senior GIS Engineer

New York, NY ยท On-site

$114K - $157K/yr

This role works across JLL's geospatial and enterprise data platforms on problems such as geocoding ... Bachelor's degree in computer science, Software Engineering, Information Technology, Geography/GIS ...

Showing results 21-40

Geospatial Information Science information

See New York salary details

$237

$551

How much do geospatial information science jobs pay per week?

As of Sep 2, 2026, the average weekly pay for geospatial information science in New York is $540.83, according to ZipRecruiter salary data. Most workers in this role earn between $540.38 and $540.38 per week, depending on experience, location, and employer.

What is geospatial information science?

Geospatial Information Science (GIScience) is the study and application of techniques to collect, analyze, and visualize data related to locations on the Earth's surface. It combines geography, computer science, cartography, and spatial analysis to solve real-world problems in areas like urban planning, environmental management, and disaster response. Professionals in this field use Geographic Information Systems (GIS) and other technologies to map, model, and interpret spatial data for decision-making and research.

What are the key skills and qualifications needed to thrive as a geospatial information science professional?

To thrive as a Geospatial Information Science professional, you need strong analytical skills, spatial thinking, and a relevant degree in geography, GIS, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or SQL is typically required, along with relevant certifications (e.g., GISP). Attention to detail, effective communication, and problem-solving abilities are important soft skills for interpreting spatial data and collaborating with stakeholders. These skills ensure accurate data analysis, effective project execution, and valuable insights for decision-making in various industries.

What are some common challenges faced by geospatial information science professionals when integrating data from different sources?

Geospatial Information Science professionals often encounter challenges in integrating data from multiple sources due to differences in data formats, coordinate systems, and data quality. Ensuring interoperability between datasets requires meticulous attention to data transformation and standardization processes. Additionally, addressing inconsistencies, missing metadata, and varying spatial resolutions can be time-consuming, but developing robust workflows and leveraging industry-standard tools help mitigate these issues. Effective collaboration with data providers and stakeholders is also crucial for successful data integration.

What is the difference between Geospatial Information Science vs Geographic Information Systems (GIS) Specialist?

AspectGeospatial Information ScienceGIS Specialist
CredentialsBachelor's or Master's in Geospatial Science, Geography, or related fieldsBachelor's or Master's in GIS, Geography, or related fields
Work EnvironmentResearch, data analysis, development of new geospatial technologiesData management, map creation, spatial analysis in organizations
Industry UsageAcademic, research institutions, government agencies, tech companiesGovernment agencies, urban planning, environmental firms, private sector

Geospatial Information Science focuses on developing new methods, analyzing spatial data, and advancing geospatial technologies, often in research settings. In contrast, GIS Specialists primarily manage and analyze spatial data to support organizational needs. Both roles require similar credentials but differ in scope and application, with Geospatial Information Science emphasizing innovation and research, while GIS Specialists focus on practical data management and mapping tasks.

Is geospatial information science a high demand job?

Geospatial Information Science is a growing field with increasing demand across industries such as urban planning, environmental management, and defense. Professionals with skills in GIS software, remote sensing, and data analysis are sought after, especially as organizations rely more on spatial data for decision-making. Job opportunities are expected to expand as technology advances and the importance of geospatial data increases.

What jobs can I get with a geospatial information science degree?

A degree in geospatial information science prepares individuals for roles such as GIS analyst, remote sensing specialist, cartographer, geospatial developer, and GIS technician. These jobs involve working with geographic information systems, spatial data analysis, mapping, and using tools like ArcGIS or QGIS, often requiring strong technical skills and knowledge of spatial data management.

What are popular job titles related to Geospatial Information Science jobs in New York?

For Geospatial Information Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Geospatial Information Science jobs in New York look for?

The top searched job categories for Geospatial Information Science jobs in New York are:

Infographic showing various Geospatial Information Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $28,123 per year, or $13.5 per hour.

Data Scientist

Bedrock Robotics

New York, NY โ€ข On-site

Full-time

Re-posted 25 days ago


Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Role:
Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators.
You will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys operating in ambiguous problem spaces, working close to production systems, and delivering insights that directly influence engineering and product decisions.
What you'll do:
  • Own and execute data science work across autonomy, safety, and product, focusing on the highest-impact analytical problems
  • Analyze machine telemetry, operational data, and user workflows to surface insights that improve system performance, safety, and usability
  • Define and track key metrics that measure system behavior and product outcomes
  • Design and evaluate experiments, analyses, and validation approaches in partnership with engineering and product teams
  • Collaborate closely with ML platform and data engineering teams to ensure data is accessible, reliable, and fit for analysis
  • Communicate findings clearly to technical and non-technical stakeholders, influencing roadmap and design decisions
  • Contribute to the foundation of data science practices at Bedrock, helping shape how future work and teams scale

Required Qualifications:
  • 5+ years of experience in data science, applied analytics, or applied machine learning roles
  • Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization
  • Ability to work independently, define analytical approaches, and drive projects from concept to insight
  • Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)
  • Strong grounding in statistics, experimental design, and data analysis, with a track record of influencing decisions through data
  • Hands-on experience collaborating with data engineering and infrastructure teams on data pipelines, data quality, and scalable analysis workflows
  • Proficiency in Python and SQL, with experience using modern tooling like agentic AI
  • Bachelor's degree in Computer Science, Engineering, Statistics, or a related field (advanced degree welcome but not required)

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY), please apply anyway! We'd love to consider you.
Bedrock Robotics is an Equal Opportunity Employer
We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.