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Spatial Data Science Jobs in Portland, OR (NOW HIRING)

Security Professional

Portland, OR · On-site

$118K - $160K/yr

... is a data-driven discipline-integrating video, access control, and intrusion detection into a ... Partner with civil, electrical, and structural engineering teams to identify potential spatial ...

Security Professional

Portland, OR · On-site

$121K - $166K/yr

... is a data-driven discipline-integrating video, access control, and intrusion detection into a ... Partner with civil, electrical, and structural engineering teams to identify potential spatial ...

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

... data movement, memory management, and device interfaces. * Architect and deliver performance ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...

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Showing results 1-20

Spatial Data Science information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do spatial data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for spatial data science in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

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

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

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

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What job categories do people searching Spatial Data Science jobs in Portland, OR look for? The top searched job categories for Spatial Data Science jobs in Portland, OR are:
What cities near Portland, OR are hiring for Spatial Data Science jobs? Cities near Portland, OR with the most Spatial Data Science job openings:
Engineering Technician 4 1

Engineering Technician 4 1

Lam Research Corporation

Tualatin, OR • On-site

Full-time

Posted 3 days ago


Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

42nd of 421 rated machine equipment manufacturers


Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
As a technician in the SEM Lab, you will support Lam's various business groups by providing rapid data turnarounds that enable faster problem resolution for Lam engineering in support of our customers. Productive internal microscopy work not only reduce turnaround times but also lowers costs to Lam compared to outside providers. Productive technicians help win business opportunities while reducing costs for the company-a win-win!
This is a back-end day shift position, alternating Wednesdays, every Thursday, Friday, Saturday on a 12-hr compressed schedule.
What you'll do
  • Preparation of STEM/TEM samples and imaging of samples in Scanning Transmission Electron Microscopy (STEM) using Thermo Fisher Helios systems.
  • FIB-SEM analysis.
  • Follow lab methodology for STEM sample preparation consistent with quality standards.
  • Optimize personal workflow for efficient throughput of samples.
  • Communication with lab management to provide work completion time estimates.
  • Provide feedback to lab management for continuous improvement opportunities in lab workflows.
  • Communicate with team members to ensure alignment on methodologies.
  • Protect customer material and IP at all times.

Who we're looking for
  • 4+ years of experience with a BS degree in a physical science, or a specialized AS degree, or equivalent professional training in materials science and analytical techniques.
  • Experience operating dual-beam FIB/SEM tools, particularly in the preparation of thin lamellae for STEM or TEM imaging.
  • Experience creating and presenting technical documentation.
  • Strong spatial awareness for tool operation.
  • Attention to detail and ability to work in a high-throughput environment.
  • Knowledge of automated lamella preparation and sample imaging.
  • Ability to work a shift schedule.

Preferred qualifications
  • Familiarity with key developments and materials in the semiconductor industry.
  • Experience in customer IP protection and sample handling.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
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Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

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Benefits

Hours and flexibility

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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