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Geospatial Data Scientist Jobs in New York (NOW HIRING)

Neara

Data Scientist

New York, NY · On-site

$160K - $190K/yr

Geospatial data or power grid experience are a plus. * You have a strong intuition for data with ... data scientists only see in theory. * Your models will directly prevent wildfires and mitigate ...

Bedrock Robotics

Data Scientist

New York, NY · On-site

Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy ... geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)

CREW Carbon, Inc.

Full-Stack Data Scientist

Manhattan, NY · On-site

$90 - $120/hr

About the Role We are looking for a product-focused data scientist and developer to join CREW ... MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics ...

CREW

Full-Stack Data Scientist

Manhattan, NY · On-site

$90 - $120/hr

About the Role We are looking for a product-focused data scientist and developer to join CREW ... MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site +1

NYC DOT seeks to hire a Data Scientist to join the Data Operations, Systems, and Analytics (DOSA ... Proven track record of conducting quantitative and/or geospatial research. Work Location: 55 Water ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site

$100K - $125K/yr

NYC DOT seeks to hire a Data Scientist to join the Data Operations, Systems, and Analytics (DOSA ... Proven track record of conducting quantitative and/or geospatial research. Work Location: 55 Water ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site +1

NYC DOT seeks to hire a Data Scientist to join the Data Operations, Systems, and Analytics (DOSA ... Proven track record of conducting quantitative and/or geospatial research. Work Location: 55 Water ...

T-Mobile

Senior Applied Scientist

New York, NY · On-site

$116K - $210K/yr

You'll collaborate with engineers, data scientists, product managers, and other stakeholders to ... Experience in AdTech and GIS or geospatial data processing is a plus. * At least 18 years of age

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $184K/yr

Collaborate with computational ecologists and data scientists to integrate generative design with ... Utilize inferred geospatial data to drive the computational synthesis and design of functional ...

City of New York

Program Data Scientist

Queens, NY · On-site

$125K - $150K/yr

... QGIS, geospatial Python libraries). -Experience designing analyses or data systems for tracking ... CITY RESEARCH SCIENTIST - 21744 Qualifications 1. For Assignment Level I (only physical, biological ...

City of New York

Program Data Scientist

Queens, NY

... QGIS, geospatial Python libraries). - Experience designing analyses or data systems for tracking ... CITY RESEARCH SCIENTIST - 21744 Qualifications 1. For Assignment Level I (only physical, biological ...

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Geospatial Data Scientist information

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$41K

$134.3K

$215K

How much do geospatial data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for geospatial data scientist in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

What are the most commonly searched types of Geospatial Data Scientist jobs in New York?

The most popular types of Geospatial Data Scientist jobs in New York are:

What are popular job titles related to Geospatial Data Scientist jobs in New York?

For Geospatial Data Scientist jobs in New York, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in New York look for?

The top searched job categories for Geospatial Data Scientist jobs in New York are:

What cities in New York are hiring for Geospatial Data Scientist jobs?

Cities in New York with the most Geospatial Data Scientist job openings:

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in New York as of August 2026, with employment types broken down into 50% Internship, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Data Scientist

Neara

New York, NY • On-site

$160K - $190K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
By simulating extreme weather and structural stress at a network-wide scale, we empower the world's largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
Data Scientist
As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Neara is capable of doing, and as new infrastructure buildouts for the energy grid itself.
What You Will Do:
  • Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms.
  • Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of electrical infrastructure.
  • Advise the company on what our data says and use that understanding to inform Neara's strategy.
  • Conduct experiments and A/B tests to improve our modeling of the grid.
  • QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage.
  • Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS.
  • Mentor others in best practices for model training, data analytics, and building data-driven products.

Who You Are:
  • A data scientist, ML scientist, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus.
  • You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders.
  • Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling.
  • Experience translating your models into both experiments and deployable software.
  • Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB.
  • Comfort working in an AWS cloud environment.
  • Excellent problem-solving skills as applied to new domains.
  • Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems.
  • Ability to own problems and proactively approach challenges.
  • Prior experience in the energy industry is a plus.

What We Offer:
  • Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory.
  • Your models will directly prevent wildfires and mitigate disaster risks across millions of kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid.
  • You won't just build models; you'll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world's largest utilities invest.
  • We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company's rapid global scale.

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