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Geospatial Data Scientist Jobs in Tennessee (NOW HIRING)

Dollar General

Data Scientist

Goodlettsville, TN · On-site

Experience with geospatial analytics preferred. * Experience with code management tools such as ... MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied ...

Dollar General

Data Scientist

Goodlettsville, TN · On-site

Experience with geospatial analytics preferred. * Experience with code management tools such as ... MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied ...

Chloeta

Civil Technical Engineer

Cleveland, TN · On-site

... geospatial and condition data, and support the development of recovery and reconstruction ... Bachelor's degree in Forestry, Environmental Science, Civil Engineering Technology, Geospatial ...

STI

Data Entry Support

Nashville, TN · On-site

... geospatial analysis methods and ESRI GIS applications development • Working knowledge of ... Science, Data Science, or a related field and 2 years of relevant work experience is required.

STI

Data Entry Support

Nashville, TN · On-site

... geospatial analysis methods and ESRI GIS applications development • Working knowledge of ... Science, Data Science, or a related field and 2 years of relevant work experience is required.

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Geospatial Data Scientist information

See Tennessee salary details

$34K

$111.4K

$178.3K

How much do geospatial data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for geospatial data scientist in Tennessee is $111,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

What are popular job titles related to Geospatial Data Scientist jobs in Tennessee?

For Geospatial Data Scientist jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Tennessee look for?

The top searched job categories for Geospatial Data Scientist jobs in Tennessee are:

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Tennessee as of August 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $111,399 per year, or $53.6 per hour.

Data Scientist

Goodlettsville, TN • On-site

Dollar General
Retail • 10K+ employees

4.0

Company rating: 4.0 out of 10

Based on 4,633 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers

Recommended by students

Respectful managers

Learn more about Dollar Generalexternal

Full-time

Posted 9 days ago

Job description

Work Where You Matter
At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.
Company Overview

General Summary:

This key role within Decision Science & Analytics will lead the ongoing development and execution of the Company’s product shrink and damages forecasting and mitigation efforts. This role will work collaboratively with internal business partners (such as Asset Protection, Finance, and Merchandising), internal IT resources, and the broader Decision Science organization. Day to day work will include developing and monitoring predictive and deterministic models, automating analytics processes, and deep dive ad hoc analysis to determine root causes.


Job Details

Duties & Responsibilities:

  • Develop dynamic, productionized, and scalable models that generate ROI for both DG and their customers. These models may include predictive and time-series forecasts, store segmentations, or include geospatial components. 
  • Create automated, reusable analytics workflows from end-to-end: from developing and maintaining SQL/Python code to the final report or dashboard deliverable.
  • Conduct open ended ad hoc analysis, including understanding the key business problem/question, translating needs into the appropriate analytics techniques, and delivering insights and recommendations to drive decisions.
  • Present analytical findings and actionable insights in PowerPoint or PowerBI to stakeholders, “telling the story” with data to non-technical audience.

Knowledge, Skills and Abilities (KSAs):

  • Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses.
  • Experience developing predictive models from scratch and moving into production environment, including model comparison/selection techniques, parameterization, error handling, and working across dev/test/prod environments.
  • Identify and implement proper data preparation and feature engineering methods, such as outlier identification and removal, principal components analysis (PCA), and general data structuring.
  • Experience developing code to combine, clean and prepare data for modeling using some combination of SQL, Python, and PySpark (including but not limited to pandas, numpy, scikit-Learn, matplotlib, tensor- flow).
  • Proficiency with common analytical platforms, including distributed compute, such as Databricks.
  • Practical experience ingesting and manipulating large volumes of data (millions of records).
  • Demonstrated ability to translate complicated analytics topics and insights into easily communicable concepts to non-technical audience, including model accuracy and feature importance.
  • Experience with geospatial analytics preferred.
  • Experience with code management tools such as GitLab.
  • Experience with retail industry preferred.
  • Basic to intermediate skills with BI tools such as Tableau and PowerBI preferred.

Qualifications

Work Experience &/or Education:

  • MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred.
  • Bachelor’s in a highly quantitative/STEM field considered with the right experience.
  • 2-5 years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
  • Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries.
Qualifications:

Work Experience &/or Education:

  • MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred.
  • Bachelor’s in a highly quantitative/STEM field considered with the right experience.
  • 2-5 years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
  • Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries.
Education:UNAVAILABLEEmployment Type: FULL_TIME
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About Dollar General

Sourced by ZipRecruiter

What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US

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