... geospatial data and advanced analytical techniques to optimize delivery experience. You'll also ... About You Minimum Qualifications * 7+ years of experience working in a data science or ML role at a ...
... geospatial data and advanced analytical techniques to optimize delivery experience. You'll also ... About You Minimum Qualifications * 7+ years of experience working in a data science or ML role at a ...
Senior Data Scientist
OR · On-site
Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...
Senior Data Scientist
OR · On-site
Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...
Senior Data Scientist
OR · On-site +1
Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...
Senior Data Scientist
OR · On-site +1
Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...
Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...
Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...
Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided ... leverage geospatial data and advanced analytical techniques to optimize logistics. You'll also ...
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.
Data Scientist
OR · On-site +1
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.
Data Scientist
OR · On-site +1
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.
Meteorologist
Tualatin, OR · On-site
Develop relationships and collaborate with both internal and external stakeholders, data scientists ... Demonstrated experience and expertise in the utilization of Python for geospatial data analysis
Meteorologist
Tualatin, OR · On-site
Develop relationships and collaborate with both internal and external stakeholders, data scientists ... Demonstrated experience and expertise in the utilization of Python for geospatial data analysis
Meteorologist
Tualatin, OR · On-site
Develop relationships and collaborate with both internal and external stakeholders, data scientists ... Demonstrated experience and expertise in the utilization of Python for geospatial data analysis
Meteorologist
Tualatin, OR · On-site
Develop relationships and collaborate with both internal and external stakeholders, data scientists ... Demonstrated experience and expertise in the utilization of Python for geospatial data analysis
Machine Learning Data Scientist
Lake Oswego, OR · On-site
$122K - $165K/yr
... geospatial and transportation. Whether it's helping customers build and maintain infrastructure ... Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred)
Machine Learning Data Scientist
Lake Oswego, OR · On-site
$122K - $165K/yr
... geospatial and transportation. Whether it's helping customers build and maintain infrastructure ... Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred)
Senior Machine Learning Engineer II, Fulfillment, Matching and Positioning
OR · Remote
$104K - $143K/yr
You'll collaborate closely with engineering, product, and data science partners to translate ... Experience with geospatial data, routing APIs, and graph algorithms. * Background in building ...
Senior Machine Learning Engineer II, Fulfillment, Matching and Positioning
OR · Remote
$104K - $143K/yr
You'll collaborate closely with engineering, product, and data science partners to translate ... Experience with geospatial data, routing APIs, and graph algorithms. * Background in building ...
Collect, download, and ship gathered geospatial data daily after acquisition. * Complete extensive ... science, engineering program or related field * Aviation Background * Ground Survey Background
Collect, download, and ship gathered geospatial data daily after acquisition. * Complete extensive ... science, engineering program or related field * Aviation Background * Ground Survey Background
... geospatial data and visualization, solid waste management, and environmental compliance work. You ... Our engineers, scientists, technical and project employees serve our clients from offices across ...
... geospatial data and visualization, solid waste management, and environmental compliance work. You ... Our engineers, scientists, technical and project employees serve our clients from offices across ...
... geospatial data and visualization, solid waste management, and environmental compliance work. You ... Our engineers, scientists, technical and project employees serve our clients from offices across ...
... geospatial data and visualization, solid waste management, and environmental compliance work. You ... Our engineers, scientists, technical and project employees serve our clients from offices across ...
Senior Machine Learning Engineer, Operations Research
OR · Remote
$204K/yr
You'll partner closely with engineering, product, and data science to ship models and algorithms ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
Senior Machine Learning Engineer, Operations Research
OR · Remote
$204K/yr
You'll partner closely with engineering, product, and data science to ship models and algorithms ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
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 ...
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 ...
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.
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.
Network Inventory GIS Engineer
OR · Remote
$67K - $90K/yr
... geospatial data (polygons, KMZ, SHP). Location This is a Work from Home position within the U.S ... Bachelor's degree in Geography, Computer Science, or a related field. 2+ years of experience in GIS ...
Network Inventory GIS Engineer
OR · Remote
$67K - $90K/yr
... geospatial data (polygons, KMZ, SHP). Location This is a Work from Home position within the U.S ... Bachelor's degree in Geography, Computer Science, or a related field. 2+ years of experience in GIS ...
Senior Solution Architect, Data & AI
$150K - $200K/yr
Work with business partners, data engineers, data scientists, and analysts to translate ... cases (e.g., IIoT, geospatial, drone data). * Handson experience designing and implementing ...
Senior Solution Architect, Data & AI
$150K - $200K/yr
Work with business partners, data engineers, data scientists, and analysts to translate ... cases (e.g., IIoT, geospatial, drone data). * Handson experience designing and implementing ...
Geospatial Data Science information
See Oregon salary details
$23.3K - $32.9K
1% of jobs
$32.9K - $42.5K
2% of jobs
$42.5K - $52.1K
7% of jobs
$59.2K is the 25th percentile. Wages below this are outliers.
$52.1K - $61.7K
20% of jobs
The median wage is $70K / yr.
$61.7K - $71.3K
23% of jobs
$71.3K - $80.9K
18% of jobs
$83.7K is the 75th percentile. Wages above this are outliers.
$80.9K - $90.5K
15% of jobs
$90.5K - $100.2K
2% of jobs
$100.2K - $109.8K
2% of jobs
$109.8K - $119.4K
5% of jobs
$119.4K - $129K
5% of jobs
$23.3K
$81.9K
$129K
How much do geospatial data science jobs pay per year?
As of Jun 22, 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?
| Aspect | Geospatial Data Science | GIS Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Geography, or related; often includes programming skills | Degree in Geography, GIS, or related; GIS certifications common |
| Work Environment | Data analysis, modeling, programming, often in tech or research settings | Mapping, spatial data management, using GIS software in various industries |
| Employer & Industry Usage | Tech companies, research institutions, government agencies focusing on spatial data analysis | Urban 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:
Instacart rating
7.0
Based on 30 frontline employees who took The Breakroom Quiz
31st of 62 rated delivery companies
Job description
Overview
The Core Delivery team at Instacart is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you'll identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and leverage geospatial data and advanced analytical techniques to optimize delivery experience. You'll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.
About the Job
- Own analytical frameworks that guide the product roadmap.
- Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
- Develop statistical models to extract trends, measure results, and predict future performance of our products.
- Build simulations to project the impact of various product and policy interventions.
- Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
- Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
- Present findings in a compelling way to influence Instacart's leadership.
About You
Minimum Qualifications
- 7+ years of experience working in a data science or ML role at a product company.
- Ability to run rigorous experiments and generate scientifically sound recommendations.
- Strong SQL skills for data extraction and transformation from relational databases.
- Proficiency in Python or R for data manipulation and statistical analysis, including libraries such as pandas, scikit-learn, or equivalent.
- Ability to translate business needs into analytical frameworks.
Preferred Qualifications
- Experience with geospatial analysis techniques.
- MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.
#LI-remote
What Instacart employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
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