ZipRecruiter

Log In

1

Spatial Data Science Jobs in Michigan (NOW HIRING)

Varsity Tutors

AP Human Geography Tutor

Kalamazoo, MI · Remote

$40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Ann Arbor, MI · Remote

$40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Detroit, MI · Remote

$40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Deloitte

Physical and Spatial AI Engineer III

Detroit, MI · On-site

$57 - $76.50/hr

This role will be supporting clients in environments such as data centers, sports venues and ... Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering ...

FastTek

Technical Analyst

Jackson, MI · On-site

Strong understanding of GIS, mapping tools, and spatial data management. * Experience with data ... Bachelor's degree in Geographic Information Systems (GIS), Information Technology, Computer Science ...

next page

Showing results 1-20

All JobsSpatial Data Science JobsSpatial Data Science Jobs in Michigan

Spatial Data Science information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do spatial data science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for spatial data science in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 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 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.

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 are popular job titles related to Spatial Data Science jobs in Michigan? For Spatial Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Michigan look for? The top searched job categories for Spatial Data Science jobs in Michigan are:
Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in Michigan as of June 2026, with employment types broken down into 2% As Needed, 76% Full Time, 19% Part Time, and 3% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.
Research Track Faculty Position (Cancer Data Science [CDS]/Radiology)

Research Track Faculty Position (Cancer Data Science [CDS]/Radiology)

University of Michigan

Ann Arbor, MI • On-site

Full-time

Posted 26 days ago

University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

131st of 535 rated colleges and universities

Job description

Description
General Information: The Department of Biostatistics at the University of Michigan is seeking applicants for a Research Assistant Professor or Assistant Research Scientist or Research Investigator faculty positions. A particular focus of this search is on candidates who are interested in biostatistical research aligned with the Cancer Data Science (CDS) Shared Resource (https://sph.umich.edu/cds/) and Department of Radiology at University of Michigan. CDS fosters active engagement and collaboration geared towards development and application of rigorous biostatistical methodologies to data emerging from cancer-focused studies across the spectrum of basic, clinical and population sciences research at the Rogel Cancer Center at University of Michigan. Specifically, the focus will be on developing and implementing quantitative methodologies for biological and clinical data that include, but not limited to, radiology-based and spatial imaging-based investigations. Candidates must have a strong research background with a doctoral degree in biostatistics, statistics, mathematics, the computational sciences or a related field. Candidates being considered for this position will be expected to develop an outstanding research program. Excellent candidates with other research focus will also be considered and are encouraged to apply.
Underfill Statement: This position is posted as Research Assistant Professor/Assistant Research Scientist/Research Investigator. The rank of the selected candidate will depend upon the candidate's qualifications. For more information regarding appointment criteria for these job titles, please visit https://research.umich.edu/policies-on-appointments-and-promotions-for-research-scientist-track/.
Department Information: The Department of Biostatistics has 45 primary faculty members and 295 full-time PhD and Master's students. The Department is involved in cutting edge methodological research and scientific investigation in many areas of public health and biomedical research. The Department has close ties with the Department of Statistics, the Institute for Social Research, the Medical School, the Michigan Institute for Data Science, The Institute of Health Policy and Innovation, the University of Michigan Rogel Cancer Center, and other research groups across campus.
The University of Michigan offers competitive salaries and excellent benefits. Ann Arbor is a progressive city of about 118,000 year-round residents, and approximately 53,000 students, with excellent schools and a wide variety of sporting and musical activities. It is rated very highly in national surveys for its quality of life and has the amenities of a city many times its size.
The University of Michigan is an affirmative action/equal opportunity employer. Applications from women and minorities are welcomed and strongly encouraged.
Qualifications
Candidates must have a strong research background with a doctoral degree in biostatistics, statistics, mathematics, the computational sciences or a related field. Candidates being considered for this position will be expected to develop an outstanding research program. Excellent candidates with other research focus will also be considered and are encouraged to apply.
Application Instructions
Consideration of applications will begin on a rolling basis. Interested applicants should submit their CV, a statement of research interest, the names of three references, and academic transcripts (if a recent graduate) at http://apply.interfolio.com/157251.
Questions or Concerns: Interested candidates can contact the University of Michigan Department of Biostatistics at UM.Biostat.Recruitment@umich.edu or Veera Baladandayuthapani (veerab@umich.edu), Director of CDS.

What University Of Michigan employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Michigan logo

About University of Michigan

Sourced by ZipRecruiter

The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

Social media

FacebookTwitter

View All University of Michigan Jobs

Apply