1

Spatial Data Science Jobs in Michigan (NOW HIRING)

Overview Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries ... English fluency with strong oral, reading, written, MS Office, computer, technical data, and ...

New

GEI is seeking a mid-level Environmental Engineer/Scientist/Geologist in Southeast Michigan. Under ... Support data management and analysis, technical report development, and assist in preparation of ...

... of the following: spatial translatomics, RNA translation, translational regulation, RNA ... scientific work. * Document, compile, and format data analysis in presentations and reports to ...

... class spatial intelligence, semantic and topological mapping, and state estimation to model and ... Develop data curation, auto‑labeling, and active learning pipelines. * Develop evaluation scripts ...

Warehouse Clerk - Ann Arbor, MI

Ann Arbor, MI · On-site

$15.75 - $18.75/hr

At Sartorius, work contributes to advancing life science solutions that improve health outcomes. As ... Proficiency in IT systems, including data entry and inventory tracking * Strong spatial awareness ...

Showing results 41-54

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:
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.

Sr. Algorithm Engineer (Image Processing)

KLA Corporation

Ann Arbor, MI • Hybrid

$105K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

Join KLA in Michigan as an Image Processing Algorithm Engineer!

Are you passionate about innovating and crafting new algorithms thatgo beyond pulling off the shelf?We are looking for individuals who are drawn to solving challenging technical requirements andputting forward outstanding and creative solutionswith a driven team!

Bring your validated experience to build new algorithms for KLAs innovative inspection products.Help drive creative ideas, implement proof of concepts, productizing and evaluating new algorithms! By providing technical expertise you will be supporting other team members, collaborators, and customers.This is an opportunity to work on innovative problems where you will become an authority and indispensable within the KLA Algorithm team. Solidify your depth of knowledge while growing your scope of responsibilities to become a leader in the Image Processing field.

Job Duties, but not limited to:

  • Designing, developing, and optimizing innovative image processing and computer vision algorithms for KLA's next-generation semiconductor photomask inspection products.
  • Researching and evaluating new approaches in image processing, signal processing, computer vision, and machine learning to solve challenging real-world problems.
  • Prototyping and validating algorithms in MATLAB or Python and translating successful solutions into production-quality C++ software on Linux platforms.
  • Collaborating with cross-functional teams to transform technical concepts into robust, customer-facing capabilities.
  • Analyzing complex image data, identifying performance bottlenecks, and improving defect detection accuracy, sensitivity, and throughput.
  • Leveraging modern computing technologies, including parallel and GPU-accelerated computing, to develop high-performance algorithm solutions.
  • Investigating customer challenges and contributing throughout the full development lifecycle, from concept exploration and proof-of-concept development through productization and support.

Qualifications

  • 1-4 years of work experience required in development in Image Processing (spectral/spatial filtering techniques, model-based methods and inverse problems, etc.)
  • Experience prototyping Algorithms using MATLAB or Python, and implementing algorithms in C++ software under Linux is highly preferred
  • Having a strong understanding of innovative research in Conventional image processing algorithms.
  • Hands on experience in an industry setting solving computer vision challenges, strong image processing fundamentals
  • Familiarity with any of the following is a plus: Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., Pytorch/Tensorflow), and optical or ebeam modeling
  • International and Domestic travel required up to 10%

What will differentiate you:

The ideal candidate will have 1 to 4 years of strong understanding of innovative research in Conventional or Traditional Image Processing. Hands on experience solving computer vision challenges, strong image processing fundamentals, and an appreciation of complex image acquisition systems.

Hybrid Work:

This position allows flexibility and requires you to be in the office 3 days a week.

Minimum Qualifications

Bachelors Degree plus 5 years experience, or Masters degree plus 3 years experience or PhD plus 0 years experience

Base Pay Range: $105,900.00 - $180,000.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.