ZipRecruiter

Log In

1

Geospatial Data Science Jobs in Oregon (NOW HIRING)

Planet

Commercial AI Innovation Lead

OR · On-site +1

You will partner closely with Sales, Customer Success, Product, and Data Science to translate ... Working knowledge of the geospatial AI landscape: change detection, image classification, time ...

Planet

Senior Software Engineering Manager

OR · Remote

Impact You'll Own: * Guide your team of software engineers and data scientists to deliver ... What Makes You Stand Out: * Experience building products using sensor or geospatial data.

AcuityMD

OR · On-site

$55.75 - $73.75/hr

Engineer features and conduct applied research across time-series, geospatial, demographic ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical ...

NV5

Geospatial Project Manager

Corvallis, OR · On-site

Coordination with data acquisition, production, and eGIS teams * Coordination with Account Managers ... Bachelor's degree in business, geography, GIS, science, or engineering program * Master's degree or ...

NV5

Geospatial Project Manager

Corvallis, OR · On-site

Coordination with data acquisition, production, and eGIS teams * Coordination with Account Managers ... Bachelor's degree in business, geography, GIS, science, or engineering program * Master's degree or ...

NV5

Geospatial Project Manager

Corvallis, OR · On-site

Coordination with data acquisition, production, and eGIS teams * Coordination with Account Managers ... Bachelor's degree in business, geography, GIS, science, or engineering program * Master's degree or ...

NV5

Systems Administrator

Corvallis, OR · On-site

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Working knowledge of internet security and data privacy principles * BA/BS in Information ...

NV5

Systems Administrator

Corvallis, OR

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Working knowledge of internet security and data privacy principles * BA/BS in Information ...

NV5

Systems Administrator

Corvallis, OR · On-site

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Working knowledge of internet security and data privacy principles * BA/BS in Information ...

Instacart

Senior Software Engineer II, Logistic Foundation

OR · Remote

$122K - $161K/yr

... geospatial capabilities. Our mission is to unlock new capabilities and business impact through ... Analyze and refine service and data architectures; propose and lead new systems that improve ...

next page

Showing results 1-20

All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Oregon

Geospatial Data Science information

See Oregon salary details

$23.3K

$81.9K

$129K

How much do geospatial data science jobs pay per year?

As of Jul 12, 2026, the average yearly pay for geospatial data science in Oregon is $81,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $84,600.00 per year, depending on experience, location, and employer.

How does a Geospatial Data Scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.
What are the most commonly searched types of Geospatial Data Science jobs in Oregon? The most popular types of Geospatial Data Science jobs in Oregon are:
What are popular job titles related to Geospatial Data Science jobs in Oregon? For Geospatial Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science jobs in Oregon look for? The top searched job categories for Geospatial Data Science jobs in Oregon are:
What cities in Oregon are hiring for Geospatial Data Science jobs? Cities in Oregon with the most Geospatial Data Science job openings:
Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,934 per year, or $39.4 per hour.
Senior Machine Learning Engineer, Operations Research

Senior Machine Learning Engineer, Operations Research

Instacart

OR • Remote

$204K/yr

Other

Re-posted 2 days ago

Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

29th of 63 rated delivery companies

Job description

Overview:

We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this role, you will work at the intersection of combinatorial optimization, mathematical programming, and AI to solve high-impact problems in the fulfillment space - including order batching, shopper routing, service availability prediction, and real-time assignment. You'll partner closely with engineering, product, and data science to ship models and algorithms that directly influence Instacart's profitability and shopper experience at scale.

The Logistics & ML group is responsible for the intelligence and execution behind Instacart's fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

  • Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
  • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.


About You:

Minimum Qualifications:

  • Have a graduate degree (masters or PhD) in Operations Research or Industrial Engineering
  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems


#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

View All Instacart Jobs

Apply