Adhere to software and data science development standards * Perform data acquisition, sourcing ... Integrate asset, condition, and geospatial data to support longterm strategic planning for utility ...
Adhere to software and data science development standards * Perform data acquisition, sourcing ... Integrate asset, condition, and geospatial data to support longterm strategic planning for utility ...
Adhere to software and data science development standards * Perform data acquisition, sourcing ... Integrate asset, condition, and geospatial data to support longterm strategic planning for utility ...
Adhere to software and data science development standards * Perform data acquisition, sourcing ... Integrate asset, condition, and geospatial data to support longterm strategic planning for utility ...
Adhere to software and data science development standards * Perform data acquisition, sourcing ... Integrate asset, condition, and geospatial data to support long-term strategic planning for utility ...
Adhere to software and data science development standards * Perform data acquisition, sourcing ... Integrate asset, condition, and geospatial data to support long-term strategic planning for utility ...
Adhere to software and data science development standards * Perform data acquisition, sourcing ... Integrate asset, condition, and geospatial data to support long-term strategic planning for utility ...
Adhere to software and data science development standards * Perform data acquisition, sourcing ... Integrate asset, condition, and geospatial data to support long-term strategic planning for utility ...
... 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 ...
... with geospatial technology to become an integral part of the State and Local Government account ... Knowledge of data science or spatial analysis and how it is used for problem solving and uncovering ...
... with geospatial technology to become an integral part of the State and Local Government account ... Knowledge of data science or spatial analysis and how it is used for problem solving and uncovering ...
... applying geospatial technology to become an integral part of Esri's State and Local Government ... General knowledge of data science or spatial analysis and how it is used for problem solving and ...
... applying geospatial technology to become an integral part of Esri's State and Local Government ... General knowledge of data science or spatial analysis and how it is used for problem solving and ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
... applying geospatial technology to become an integral part of Esri's Mid-west account team. We're ... General knowledge of data science or spatial analysis and how it is used for problem solving and ...
... applying geospatial technology to become an integral part of Esri's Mid-west account team. We're ... General knowledge of data science or spatial analysis and how it is used for problem solving and ...
... applying geospatial technology to become an integral part of Esri's State and Local Government ... General knowledge of data science or spatial analysis and how it is used for problem solving and ...
... applying geospatial technology to become an integral part of Esri's State and Local Government ... General knowledge of data science or spatial analysis and how it is used for problem solving and ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
... applying geospatial technology to become an integral part of Esri's Mid-west account team. We're ... General knowledge of data science or spatial analysis and how it is used for problem solving and ...
... applying geospatial technology to become an integral part of Esri's Mid-west account team. We're ... General knowledge of data science or spatial analysis and how it is used for problem solving and ...
Geospatial Data Scientist information
See Minnesota salary details
$36.7K - $50.9K
2% of jobs
$50.9K - $65K
3% of jobs
$65K - $79.2K
6% of jobs
$79.2K - $93.4K
9% of jobs
$97.9K is the 25th percentile. Wages below this are outliers.
$93.4K - $107.5K
15% of jobs
The median wage is $117K / yr.
$107.5K - $121.7K
22% of jobs
$129.5K is the 75th percentile. Wages above this are outliers.
$121.7K - $135.8K
32% of jobs
$135.8K - $150K
3% of jobs
$150K - $164.1K
4% of jobs
$164.1K - $178.3K
1% of jobs
$178.3K - $192.5K
2% of jobs
$36.7K
$120.2K
$192.5K
How much do geospatial data scientist jobs pay per year?
As of Jul 26, 2026, the average yearly pay for geospatial data scientist in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.
Is 40 too late for data science?
A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance in data science later in life by acquiring relevant skills such as programming, statistics, and GIS tools, and obtaining certifications if needed.
What are the typical daily tasks of a Geospatial Data Scientist?
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 in the Geospatial Data Scientist position, and why are they important?
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.
Can data scientists make $300k?
Geospatial Data Scientists with extensive experience, advanced skills in GIS tools, programming, and machine learning can potentially earn $300,000 or more, especially in high-demand industries or senior roles. However, such salaries are typically achieved through seniority, specialized expertise, or leadership positions, and are not common for entry-level or mid-career roles.
Is GIS still in demand?
Geospatial Data Scientists and GIS professionals are in high demand due to the increasing reliance on spatial data across industries such as urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and programming languages like Python or R enhance job prospects in this field, which continues to grow with advancements in technology and data integration.
What is a Geospatial Data Scientist job?
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?
A geospatial data scientist analyzes geographic data to identify patterns, trends, and insights using tools like GIS software, programming languages such as Python or R, and spatial databases. They develop models, visualize data on maps, and support decision-making in fields like urban planning, environmental management, and transportation.
What are the most commonly searched types of Geospatial Data Scientist jobs in Minnesota? The most popular types of Geospatial Data Scientist jobs in Minnesota are:
What are popular job titles related to Geospatial Data Scientist jobs in Minnesota? For Geospatial Data Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Scientist jobs in Minnesota look for? The top searched job categories for Geospatial Data Scientist jobs in Minnesota are:
What cities in Minnesota are hiring for Geospatial Data Scientist jobs? Cities in Minnesota with the most Geospatial Data Scientist job openings:
HDR rating
9.1
Based on 57 frontline employees who took The Breakroom Quiz
39th of 442 rated engineering
Job description
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story'
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
We believe water is more than a resource, it's a shared responsibility. As part of our Water Business Group, you'll help shape how communities manage water for generations to come. From delivering safe drinking water and treating wastewater responsibly to developing sustainable water supplies and protecting lives and property through flood control, your work will directly support public health, environmental sustainability, and infrastructure resilience. We bring together experts across disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will make a meaningful difference in people's lives. This isn't just a job, it's a chance to lead change, drive progress, and leave a lasting legacy.
About the Role
HDR is seeking an entrylevel Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic modeling analysis, data analytics, GIS, and asset management. This position contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. The successful candidate will demonstrate strong analytical capability, technical rigor, and an interest in advancing datadriven utility planning.
Key Responsibilities:
Hydraulic Modeling & System Analysis
- Assist with building and maintaining hydraulic model data for water distribution and wastewater collection systems using GIS datasets, asbuilt drawings, and field data.
- Support hydraulic simulations, system performance evaluations, and scenario analyses for planning studies and operational assessments.
- Utilize data from industry modeling tools such as InfoWater, InfoSewer, InfoSWMM, InfoWorks ICM, SewerGEMs, WaterGEMs, EPANet, and ArcGIS Pro.
Data Engineering, Analytics & Visualization
- Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records.
- Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations.
- Support database management, data structuring, and creation of modeling-ready datasets to improve study reliability and documentation.
- Handle highly sensitive and confidential information with professionalism and discretion
- Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
- Develop data products including reports, visualizations, and dashboards
- Adhere to software and data science development standards
- Perform data acquisition, sourcing, cleaning and exploratory data analysis (EDA)
- Transform raw data into usable attributes for machine learning modules through feature engineering
- Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference.
- Create automated data pipelines and data engineering solutions
- Develop advanced and custom predictive models (classification, regression, time series, neural networks, natural language processing, and computer vision)
- Tune models with training, hyperparameters with comprehensive validation and testing processes
Asset Management & Capital Planning
- Contribute to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning.
- Assist in preparing asset management and capital improvement plan documents, including risk modeling graphics, lifecycle analysis summaries, and decision-support exhibits.
- Integrate asset, condition, and geospatial data to support longterm strategic planning for utility infrastructure.
Utility Planning, Policy Analysis & Technical Reporting
- Support development of technical reports, planning documents, regulatory analyses, and client presentations.
- Assist with evaluating impacts of evolving state and federal environmental policies on client utility systems.
- Leverage predictive models to optimize business results
- Contribute to studies involving financial planning, rate evaluation, and longrange system needs assessment.
Professional Collaboration
- Actively participate in HDR's employeeowned, collaborative culture by working closely with multidisciplinary teams including engineers, planners, analysts, and project managers.
- Communicate findings through written reports, visualizations, engineering graphics, and presentations.
- Maintain high standards of quality control, documentation, and analytical accuracy.
Preferred Qualifications
- Bachelor's Degree
- A minimum of 3 years experience in a data science role
- Foundational knowledge or academic experience in hydraulics, environmental systems, data analytics, GIS, or related disciplines.
- Familiarity with or academic exposure to hydraulic modeling concepts or tools.
- Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online.
- Oracle Spatial or SQL Server Spatial back-end data processing experience
- Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning.
- Interest in environmental regulations and policy frameworks related to water and wastewater utilities.
#LI-EV1
Required Qualifications
- A degree in a closely related field or combination of education and relevant experience
- Self-motivated, detail-oriented professional, ability to multitask a must
- Proficiency with MS Office including Word and Outlook
- Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas
- Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
- Proficiency with data science languages such as Python and R
- Ability to handle confidential information
- Excellent writing and people skills
- Strong math and organizational skills
- Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
- Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
- An attitude and commitment to being an active participant of our employee-owned culture is a must
What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.
About HDR
Sourced by ZipRecruiter
At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.
Industry
Specialized design services
Company size
5,001 - 10,000 Employees
Headquarters location
Omaha, NE, US
Year founded
1917