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Geospatial Intelligence Jobs in Michigan (NOW HIRING)

Domino's

Data Scientist

Ann Arbor, MI · On-site

... geospatial data and analytic techniques. Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the machine learning (ML) and artificial intelligence (AI ...

Domino's Corporate

Data Scientist

Ann Arbor, MI

... geospatial data and analytic techniques. Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the machine learning (ML) and artificial intelligence (AI ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

... geospatial data and analytic techniques. Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the machine learning (ML) and artificial intelligence (AI ...

Scalence L.L.C.

SAP Solution Architect

Auburn Hills, MI · On-site

$77.75 - $104.75/hr

... and geospatial data • Experience with Salesforce Integrations Company : In today's dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business ...

Instacart

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...

Instacart

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...

Instacart

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...

Instacart

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...

Instacart

The Logistics AI group is responsible for the intelligence and execution behind Instacart ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...

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All JobsGeospatial Intelligence JobsGeospatial Intelligence Jobs in Michigan

Geospatial Intelligence information

See Michigan salary details

$54.5K

$67.4K

$80.6K

How much do geospatial intelligence jobs pay per year?

As of Aug 10, 2026, the average yearly pay for geospatial intelligence in Michigan is $67,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $71,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in geospatial intelligence roles?

One common challenge in Geospatial Intelligence roles is managing and analyzing large volumes of complex spatial data from various sources, including satellite imagery, aerial photography, and sensor feeds. GEOINT professionals must ensure data accuracy and timeliness, often working under tight deadlines to support critical decision-making. They also need to stay current with evolving technologies and analytical tools, while collaborating closely with multidisciplinary teams such as analysts, IT specialists, and field operators. Balancing technical skills with effective communication is key to translating geospatial insights into actionable intelligence.

Is geospatial intelligence a good career field?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental decision-making. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances or specialized certifications. The field offers opportunities in government agencies, defense contractors, and private sector companies with a focus on technology and analytical expertise.

What are the key skills and qualifications needed to thrive as a geospatial intelligence analyst?

To thrive as a Geospatial Intelligence Analyst, you need strong analytical skills, spatial reasoning, and a background in geography, GIS, or related fields, often supported by a relevant degree. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing technologies, and data visualization tools is typically required, along with certifications like GEOINT Professional Certification (GPC) being advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights. These skills are essential for accurately analyzing geospatial data, supporting decision-making, and contributing to national security or commercial objectives.

What is the difference between Geospatial Intelligence vs GIS Analyst?

AspectGeospatial IntelligenceGIS Analyst
Required CredentialsOften requires security clearance, GIS certifications, and relevant degreesTypically requires GIS certifications and a degree in geography or related field
Work EnvironmentGovernment agencies, defense, intelligence, and military sectorsPublic and private sector organizations, urban planning, environmental agencies
Employer & Industry UsageUsed primarily in defense, intelligence, and national securityUsed in urban planning, environmental management, and business analysis
Search & Comparison IntentOften compared for roles involving security and strategic analysisCompared for geographic data analysis and mapping roles

Geospatial Intelligence focuses on strategic, security, and defense applications, often requiring security clearances. In contrast, GIS Analysts primarily work on mapping, spatial data analysis, and urban or environmental projects. While both roles involve geospatial skills, their work environments and objectives differ significantly.

What is geospatial intelligence?

Geospatial intelligence (GEOINT) is the collection, analysis, and interpretation of imagery and geospatial information to describe, assess, and visually depict physical features and activities on Earth. GEOINT combines satellite imagery, aerial photography, maps, and other geographic data to support national security, disaster response, and various decision-making processes. Professionals in this field use advanced technologies and analytical methods to provide actionable insights for government agencies, military operations, and private organizations.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental efforts. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances and specialized training. The career offers opportunities in government agencies, defense contractors, and private sector firms with competitive salaries and advancement potential.
What are popular job titles related to Geospatial Intelligence jobs in Michigan? For Geospatial Intelligence jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Geospatial Intelligence jobs in Michigan look for? The top searched job categories for Geospatial Intelligence jobs in Michigan are:
What cities in Michigan are hiring for Geospatial Intelligence jobs? Cities in Michigan with the most Geospatial Intelligence job openings:
Geospatial Intelligence jobs near you
Infographic showing various Geospatial Intelligence job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,422 per year, or $32.4 per hour.

Data Scientist

Domino's

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,928 frontline employees who took The Breakroom Quiz

19th of 24 rated food delivery companies

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
Drive new store openings in our domestic and largest international markets by transforming large geospatial datasets into actionable insights. Build a strong knowledge of available internal and external data sources. Mine and synthesize across data sources to help address opportunities leveraging geospatial data and analytic techniques. Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the machine learning (ML) and artificial intelligence (AI) components of an in-house Store Development Mapping Platform (DMAP), creating test and measurement plans and executing those plans. Continually innovate and improve upon existing methodologies and products. Consult on data collection for new products to ensure all tracking is in place for future analysis. Manipulate and analyze large, complex geospatial datasets, ensuring data quality and accessibility for advanced analytics. Work in a fast-paced, challenging environment with opportunities for skill enhancement.
Responsibilities
  • Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis.
  • Develops and implements basic statistical models and machine learning algorithms to address defined business problems.
  • Collaborates with cross-functional teams to understand data requirements and deliver actionable insights.
  • Documents methodologies, processes, and results to ensure reproducibility and knowledge sharing.
  • Monitors model performance and assists in maintaining data pipelines and analytical tools.

Job Tasks
  • Extracts and transforms data from multiple sources using standard querying and scripting techniques.
  • Builds and validates predictive models using established algorithms and frameworks.
  • Generates reports and visualizations to communicate findings to stakeholders.
  • Assists in troubleshooting data quality issues and refining data collection processes.
  • Participates in code reviews and applies feedback to improve analytical solutions.

Skills
  • Proficient in data manipulation and exploratory data analysis with attention to data quality.
  • Basic understanding of machine learning concepts and ability to apply standard algorithms.
  • Effective communication skills for presenting technical information to non-technical audiences.
  • Ability to work under general supervision while managing multiple routine tasks.
  • Familiarity with version control and collaborative development practices.
  • Experience with geospatial data analysis tools, including ArcGIS (arcpy), Pandas/GeoPandas, Geospatial SQL, etc

Software Application
  • Python for data analysis and modeling.
  • SQL for data extraction and manipulation
  • Experience with ArcGIS.
  • Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries.
  • Jupyter Notebooks or similar integrated development environments.
  • Version control systems such as Git.
  • Experience with Fast API creation (i.e. functional programming, automated testing, performance optimization techniques)
  • Experience applying algorithms to large-scale data (e.g. supervised/unsupervised, optimization/solver)
  • Experience with Geospatial data types

Physical Requirements
Primarily sedentary work involving extended periods of computer use. Occasional requirement to attend meetings or collaborate in team environments.
Qualifications
Years Of Experience
1 to 3 years of professional experience in data science or related analytical roles.
Education
Completion of a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
Additional Information
Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus
All your information will be kept confidential according to EEO guidelines.

What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Domino's logo

About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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