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Spatial Data Science Jobs in Michigan (NOW HIRING)

Trilon Group

... provide spatial and graphical interpretation of environmental analytical data, including but not ... chemistry or environmental science. * Familiarity with ArcGIS Pro and/or ArcGIS Desktop.

Trilon Group

G.I.S.

Houghton, MI

Provide spatial and graphical interpretation of environmental analytical data, including but not ... chemistry, or environmental science * Familiarity with ArcGIS Pro and/or ArcGIS Desktop

FedWriters, Inc.

Wet Lab Lead Technician

Ann Arbor, MI · On-site

$39.21/hr

... a broad spatial scale * Provide calibration, deployment, and data analysis of in situ ... scientists and engineers with field data and sample collection on NOAA small boats and GLERL ...

FedWriters, Inc.

Wet Lab Lead Technician

Ann Arbor, MI · On-site

$19 - $25/hr

... a broad spatial scale * Provide calibration, deployment, and data analysis of in situ ... scientists and engineers with field data and sample collection on NOAA small boats and GLERL ...

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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 Aug 11, 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 August 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Software Engineer II, Calibration

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Autonomous Driving Kit Component Enablement & Calibration (ADkit CE&E) team plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform.
We are currently seeking a Software Engineer who is enthusiastic about thriving in a hands-on environment and ready to grow with the team and leading our way toward productization.
We develop, research and design scalable solutions to calibrate and configure the ADKit components to their peak operational possible state. We work with multi-modal sensors systems including cameras, Lidars, radars and IMU on real vehicles and Hardware-in-the-Loop systems to develop our best-in-class sensors spatial orientation. Our contribution directly supports the safety, performance, and robustness of autonomous driving capabilities.
We design adaptability into our software to support the wide range of ADkit sensor configuration needed to keep our truck generation operation on the path to productization. The team engages with diverse stakeholder, spanning from commercial partners to end customers, to reduce calibration related obstacle associated with adopting autonomous trucking.
Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight.
What You'll Do
As a Software Engineer on AdKit CE&C, you will be directly involved in bringing our software solution toward its long-term implementation. To successfully accomplish this, you would need to:
  • Own the design and architecture for a scalable sensor calibration pipeline in C++, leveraging available libraries (OpenCV, linear algebra libraries) for real-time and offline calibration.
  • Deep expertise in linear algebra to lead the design and implementation of spatial computational system for multi-modals sensor platforms. Apply advanced mathematical rigor using Lie groups, quaternions, and 3D transformations to ensure accurate spatial calibration.
  • Lead the development of specialized dedicated libraries allowing sensor-to-sensor extrinsic calibration (lidar-camera, imu-lidar, etc.) using multi-sensor targetless detections during robotics missions.
  • Experience with camera intrinsic and extrinsic calibration.
  • Drive the design and maintenance of simulation tools and data pipelines for sensor modeling, calibration validation, and large-scale regression testing.
  • Collaborate cross-functionally with perception, simulation, and platform teams to define calibration requirements, set best practices, and ensure robustness across hardware configurations and software releases.
  • Establish and maintain CI/CD-integrated calibration workflows using Docker, Bazel, and Git to enable reproducible, automated testing and deployment.
  • Lead deep-dive debugging and root-cause analysis of complex sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualization utilities.
  • Mentor junior engineers and contribute to technical reviews, fostering a culture of high-quality software design and code excellence.

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5-7+ years of experience (or a Master's Degree with 3-5+ years of experience).
  • Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling.
  • Advanced experience with OpenCV, ROS, and numerical libraries for computer vision and robotics applications.
  • Deep understanding of multi-sensor calibration (camera, Lidar, IMU) in robotics or autonomous systems.
  • Strong mathematical foundation in 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) transformations.
  • Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel).
  • Demonstrated experience designing scalable software architectures and leading technical initiatives.
  • Excellent problem-solving skills and ability to drive cross-team technical alignment.

Bonus Points!
  • Familiarity with non-linear least squares solvers (e.g., Ceres, g2o) and large-scale optimization.
  • Background in sensor simulation, synthetic data generation, or validation frameworks.
  • Prior contributions to ROS-based open-source calibration or robotics tools.
  • Experience influencing technical roadmaps and defining long-term software strategies.
  • Uses vim as a primary editor (yes, still really).
  • Willingness to travel occasionally.

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Hiring Range for Job Opening
US Pay Range
$139,000-$166,800 USD

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