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Spatial Data Science Jobs in Tennessee (NOW HIRING)

Varsity Tutors

High School Geography Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

Varsity Tutors

High School Geography Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

Varsity Tutors

High School Geography Tutor

Kingsport, TN · Remote

$18 - $40/hr

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

Varsity Tutors

High School Geography Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

Ask IT consulting

GIS Developer/Analyst

Memphis, TN

Data capturing and conversion of GIS data for all GIS activities Perform complex GIS analyses with ... MINIMUM QUALIFICATIONS Bachelor's Degree in GIS, Geography, Engineering, Computer Science, Planning ...

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in Tennessee

Spatial Data Science information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do spatial data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for spatial data science in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 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 GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

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.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships 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, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

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 Tennessee? For Spatial Data Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Tennessee look for? The top searched job categories for Spatial Data Science jobs in Tennessee are:
What cities in Tennessee are hiring for Spatial Data Science jobs? Cities in Tennessee with the most Spatial Data Science job openings:
Spatial Data Science jobs near you
Faculty Position - Department of Imaging Sciences

Faculty Position - Department of Imaging Sciences

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted 4 days ago

Key responsibilities

  • Establish and lead an independent research lab focused on the development and application of novel imaging methods.

  • Pursue impactful applications of imaging approaches to accelerate biomedical research or improve clinical care.

  • Participate in collaborative research and drive widespread adoption of innovative imaging technologies.

St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

61st of 1,004 rated hospitals

Job description

SJCRH
St Jude Children's Research Hospital's newly launched Department of Imaging Sciences is seeking Faculty Member applicants at the Assistant, Associate and Full level. Chaired by Elizabeth M. C. Hillman PhD, this new department will build a community of technology innovators at St Jude, whose research focuses on the development and application of novel methods for imaging and quantitative measurement.
Applicants should be passionate about pushing the bounds of imaging and applying their techniques to accelerate biomedical research or directly improve clinical care. St Jude Children's Research Hospital is dedicated to the mission of preventing or curing catastrophic childhood disorders. Our world-class faculty members have deep expertise in oncology, developmental neurobiology, immunology, structural biology, cell and molecular biology, infectious diseases, host-microbe interactions, chemical biology and therapeutics, computational biology and more. New institutional programs focusing on data-science and data-driven discovery combine with extensive shared facilities for optical and electron microscopy, clinical imaging, sequencing and spatial-omics to make St Jude the kind of environment where rapid progress can be made in a highly collegial, collaborative and motivating environment.
The Department of Imaging Sciences is interested in broad areas of imaging, including multi-omics technologies, structural and functional microscopy, multi-modal and meso-scale imaging, clinical imaging innovations ranging from histopathology to whole-body imaging, tracer / indicator development, wearables and quantification of behavior. Methods that incorporate quantitative analysis and computational modeling are also of strong interest. Applicants should be highly collaborative and committed to pursuing impactful applications of their approaches, while also driving their widespread adoption. To facilitate technology transfer, the Department of Imaging Sciences is establishing shared resources including an Advanced Instrumentation and Fabrication Core, a Biomedical Testing and Sample Preparation Support core, a Data Analytics Support core, and a Productization and Dissemination Core that will provide hands-on support to guide technologies towards having their highest impact both locally and globally.
The Department of Imaging Sciences plans to recruit 10 faculty (at all levels) over the next 5 years. Successful faculty candidates will be expected to establish an independent lab at St Jude and will be provided with lab space, start-up funds, salary coverage and ongoing institutional support to build their world-class program. Employee support and benefits are highly competitive, and St. Jude is consistently highly ranked in Fortune magazine's list of 100 best places to work. Come join us!
Candidates must have a PhD or MD/PhD degree, postdoctoral experience, evidence of high-quality, impactful prior contributions to the imaging sciences field, including peer-reviewed publications and / or patents. Applicants should be committed to mentoring and be strongly motivated to develop a transformative collaborative research program at St Jude.
To apply: Interested candidates should submit a cover letter, a 3-5-page summary of their accomplishments and future research plans, a full CV, and contact information for three references. Please submit materials directly online.
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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