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Spatial Data Science Jobs in Pennsylvania (NOW HIRING)

We seek candidates with professional and/or academic experience (preferably both) in spatial data science, with an emphasis on one or more key focus areas, including: geospatial intelligence, spatial ...

$73K/yr

... spatial data, web maps, and web applications. * Experience with image interpretation and feature extraction from imagery. Preferred: * Master's degree in GIS, Geography, Computer Science, or a ...

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 ...

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 ...

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 ...

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 ...

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Spatial Data Science information

See Pennsylvania salary details

$44.6K

$130K

$177.9K

How much do spatial data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for spatial data science in Pennsylvania is $130,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,800.00 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 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 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 does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, relationships, and trends using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, and logistics.

What are popular job titles related to Spatial Data Science jobs in Pennsylvania?

For Spatial Data Science jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Spatial Data Science jobs in Pennsylvania look for?

The top searched job categories for Spatial Data Science jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Spatial Data Science jobs?

Cities in Pennsylvania with the most Spatial Data Science job openings:

Infographic showing various Spatial Data Science job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,028 per year, or $62.5 per hour.

Assistant Teaching Professor of Spatial Data Science

University Park, PA • On-site


Penn State University
51 - 200 employees

7.8

Company rating: 7.8 out of 10

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Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
The Department of Geography at The Pennsylvania State University, University Park, invites applications for a new full-time, non-tenure line faculty position focused on spatial data science at the Assistant Teaching Professor rank to teach and advise students for Penn State's online geospatial education programs: https://geospatial.psu.edu.
This is a 36-week non-tenure line academic appointment, funded for three years from the date of hire with the strong expectation of continuation for subsequent years, pending satisfactory performance. The University provides a clear pathway for professional advancement for its teaching faculty through its non-tenure line promotion process. We seek candidates with professional and/or academic experience (preferably both) in spatial data science, with an emphasis on one or more key focus areas, including: geospatial intelligence, spatial statistics, geographic visualization, GeoAI, cartography, and web mapping. University teaching experience, in particular with online learning, is strongly preferred.
The candidate will contribute to graduate teaching and advising in spatial data science topics. In addition, the candidate may contribute to the administration and leadership of Penn State's online geospatial education programs. Teaching responsibilities will be with Penn State's online geospatial education programs, with opportunities to teach in other Penn State resident education programs and to engage in externally-funded research based on candidate expertise and program needs.
A total of six courses will be taught each year, although a combination of course development and preparation, course teaching, and program administration tasks may be assigned depending on program needs and candidate qualifications. This position is located at the University Park campus and the professor will be appointed in the Department of Geography. This position may have the possibility for a hybrid schedule working some days in the office and others remotely. Questions related to flexible work should be directed to the hiring manager during the interview process.
To apply, please upload a letter (no longer than 3 pages) describing your teaching philosophy, teaching experience, and explaining how your experience will complement our online geospatial education programs; a curriculum vitae; and the names and contact information of three potential referees.
Applicants must have earned a Master's degree or higher (a PhD is strongly preferred) in Geography, Spatial Data Science, Geoinformatics, or a related discipline by July 1, 2027. This is a non-tenure line position. Appointment could begin as early as January 1, 2027. Application review will begin on September 15, 2026 and continue until the position is filled.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional wellbeing. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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