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Remote Geospatial Data Scientist Jobs (NOW HIRING)

Nash, Inc.

Senior Data Scientist

San Francisco, CA · On-site +1

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and ... Work with large, messy operational datasets, including delivery events, geospatial data, carrier ...

Whitespace

Data Scientist

Alexandria, VA · Remote

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ... We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT.

Whitespace

Data Scientist

Alexandria, VA · On-site +1

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ... We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT.

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Remote Work: No Job Number: R0247486 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Experience with geospatial data analysis * Experience with Databricks for data science workflows ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

SOSi

Geospatial Solutions Architect

$64.50 - $85/hr

Bachelor's degree in Geography, Geospatial Science, or a related field, or * five (5) years of ... data into cloud-based applications. * Experience with spatial analysis, remote sensing, and ...

SOSi

Geospatial Solutions Architect

$64.50 - $85/hr

Bachelor's degree in Geography, Geospatial Science, or a related field, or * five (5) years of ... data into cloud-based applications. * Experience with spatial analysis, remote sensing, and ...

SOSi

Data Governance & Metadata Scientist-WO-005

SOSi is seeking a Data Governance & Metadata Scientist to support mission requirements for a ... Geospatial Data Management Certification. Additional Information Working Conditions * Remote.

SOSi

Data Governance & Metadata Scientist-WO-005

SOSi is seeking a Data Governance & Metadata Scientist to support mission requirements for a ... Geospatial Data Management Certification. Additional Information Working Conditions * Remote.

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Remote Geospatial Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do remote geospatial data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a remote geospatial data scientist?

A Remote Geospatial Data Scientist is a professional who analyzes and interprets spatial data, such as maps, satellite imagery, and GPS data, to solve problems or provide insights, all while working from a location outside of a traditional office. They use statistical, mathematical, and programming skills to process large geospatial datasets and often collaborate with teams virtually. Their work can support a variety of industries, including environmental monitoring, urban planning, and logistics, by providing actionable geographic insights. Remote geospatial data scientists commonly use tools like GIS software, Python, and machine learning frameworks. Communication and collaboration tools are also essential for effective remote work.

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

To thrive as a Remote Geospatial Data Scientist, you need a strong background in spatial analysis, statistics, and programming, typically supported by a degree in geography, computer science, or a related field. Experience with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or R is essential, along with familiarity with cloud-based data platforms. Strong problem-solving, self-motivation, and effective communication skills are vital for collaborating remotely and turning complex geospatial data into actionable insights. These skills enable professionals to efficiently interpret and analyze spatial data, deliver valuable solutions, and work effectively within distributed teams.

How do remote geospatial data scientists typically collaborate with multidisciplinary teams across different time zones?

Remote Geospatial Data Scientists often work with professionals in fields like environmental science, urban planning, and software engineering, many of whom may be distributed globally. Effective collaboration relies on clear communication, regular virtual meetings, and the use of shared platforms for data, code, and project management. Flexible scheduling and asynchronous communication tools are key to coordinating across time zones, ensuring that all team members can contribute to project milestones efficiently. Building strong documentation and leveraging collaborative GIS and data platforms further help streamline workflows and maintain project momentum in a remote environment.

What is the difference between Remote Geospatial Data Scientist vs Remote GIS Analyst?

AspectRemote Geospatial Data ScientistRemote GIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, Data Science; experience with spatial analysisBachelor's in GIS, Geography, or related field; proficiency in GIS software
Work EnvironmentData analysis, modeling, programming, and spatial data interpretationMapping, data management, spatial data visualization
Employer & Industry UsageTech companies, environmental agencies, urban planningGovernment agencies, utilities, environmental firms
Common Search & ComparisonFocuses on data science and modelingFocuses on mapping and spatial data management

The Remote Geospatial Data Scientist primarily works on advanced spatial data analysis, modeling, and programming to extract insights from geospatial data. In contrast, the Remote GIS Analyst focuses on mapping, data management, and spatial visualization. Both roles require GIS knowledge but differ in their core responsibilities and skill sets.

More about Remote Geospatial Data Scientist jobs

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

The most popular types of Geospatial Data Scientist jobs are:

What states have the most Remote Geospatial Data Scientist jobs?

States with the most job openings for Remote Geospatial Data Scientist jobs include:

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For Remote Geospatial Data Scientist jobs, the most frequently searched job titles are:

Remote Geospatial Data Scientist jobs near you
Infographic showing various Remote Geospatial Data Scientist job openings in the United States as of September 2026, with employment types broken down into 5% Internship, 75% Full Time, 5% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

San Francisco, CA • On-site, Remote

Nash, Inc.
See more jobs at Nash, Inc.external

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago

Key responsibilities

  • Identify and scope high-impact opportunities across pricing, cost prediction, dispatch, carrier selection, ETA prediction, routing, and marketplace balancing.

  • Own data science initiatives from discovery through deployment and performance improvement.

  • Build models that account for real-world logistics constraints, shifting demand, provider availability, and service requirements.

Job description

Senior Data Scientist
About Nash
Nash is the autonomic logistics platform. We unify decisioning and execution across fleets, carriers, providers, and fulfillment networks, continuously adapting as conditions change and pursuing the best possible outcome for each business.
The world's largest retailers, grocers, and pharmacies, including Walmart, 7-Eleven, Woolworths, and Coles, run critical logistics workflows on Nash. Your work will influence real-world decisions across millions of deliveries.
Nash was founded in 2021 by Mahmoud Ghulman and Aziz Alghunaim. We are backed by Y Combinator, a16z, OpenAI, and other leading investors, and headquartered in San Francisco.
About the role
We are hiring Nash's first Data Scientist. You will combine product judgment, logistics or marketplace expertise, and pragmatic machine learning skills to build data products from discovery through production and measurement.
You will work across pricing, dispatch, carrier selection, ETA prediction, routing, and supply-demand forecasting. This is a high-ownership role for someone who can find valuable problems, turn ambiguity into measurable outcomes, and build the models and systems needed to improve those outcomes in production.
You will partner directly with Product, Engineering, Operations, customers, and company leadership.
What you'll do
  • Identify and scope high-impact opportunities across pricing, cost prediction, dispatch, carrier selection, ETA prediction, routing, and marketplace balancing.
  • Own data science initiatives from 0→1 discovery through 1→10 iteration, deployment, and performance improvement.
  • Work with large, messy operational datasets, including delivery events, geospatial data, carrier performance, customer constraints, and SLA outcomes.
  • Build models that account for real-world logistics constraints, shifting demand, provider availability, and service requirements.
  • Develop production data pipelines and model integrations using Python, SQL, and Snowflake.
  • Partner with engineers to serve models through APIs, batch pipelines, or real-time decision systems.
  • Establish evaluation frameworks, monitoring, experimentation, and A/B testing practices.
  • Measure model performance against business outcomes such as cost, reliability, on-time delivery, and operational intervention.
  • Work directly with enterprise customers to understand their operations and convert business requirements into technical approaches.
  • Communicate findings, tradeoffs, and recommendations clearly to technical and non-technical audiences.

What you'll bring
  • 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a related quantitative role.
  • Experience in logistics, marketplaces, supply chain, operations research, or another domain with complex real-world constraints.
  • A record of independently taking data science projects from problem definition through production and measurement.
  • Strong proficiency in Python and SQL, with experience working in cloud data warehouses. Snowflake experience is preferred.
  • Experience building and maintaining production machine learning systems. Deep MLOps specialization is not required.
  • Strong product judgment and the ability to connect modeling decisions to customer and business outcomes.
  • Comfort working with incomplete data, ambiguous questions, and changing operational conditions.
  • Clear written and verbal communication, including experience working with customers or senior stakeholders.
  • High agency in a fast-moving environment. You notice valuable problems and act on them.

Bonus
  • Experience with routing, ETA modeling, optimization algorithms, or geospatial data.
  • Familiarity with dispatch systems, carrier networks, logistics marketplaces, or pricing models.
  • Experience with supply-demand forecasting or marketplace balancing.
  • Exposure to dbt, Airflow, or related data orchestration tools.
  • Experience deploying models through APIs or real-time decision systems.
  • Prior experience at an early-stage company or in a founding data role.

Why this role matters
The decisions Nash makes affect what a delivery costs, which resource handles it, when it arrives, and whether the customer's promise holds when conditions change.
As our first Data Scientist, you will define how Nash uses operational data to make those decisions sharper. The models you build will move quickly from analysis into live logistics workflows, giving you a direct view into their customer and business impact.
What you'll love about Nash
  • An early-stage, well-funded company with real revenue and global enterprise customers
  • Significant ownership and autonomy, with direct collaboration with the founders
  • Quarterly team onsites to connect and align in person
  • Competitive compensation and meaningful equity
  • Flexible paid time off
  • Health, dental, and vision insurance

Equal opportunity
At Nash, we believe diverse teams are the strongest teams. We invite applicants of all genders, races, ethnicities, nationalities, ages, religions, sexual orientations, disability statuses, educational experiences, family situations, and socioeconomic backgrounds.
More about Nash
Nash is the platform that powers modern logistics.
Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line.
Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion.
We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it.
Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco.
What You'll Love About Us
• Early-stage, well-funded startup - directly impact the company and grow your career!
• Quarterly broader team on-sites to bond with teammates
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, and vision insurance for US employees

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