Data Scientist Visa Sponsorship Jobs in Tennessee
Data scientist visa sponsorship jobs in Tennessee are concentrated in Nashville, Memphis, and Knoxville, where healthcare systems like HCA Healthcare and Vanderbilt University Medical Center, logistics firms, and research universities drive steady demand. Tennessee's growing tech sector and major academic institutions create consistent opportunities for international data scientists seeking employer sponsorship.
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Get Access To All JobsINTRODUCTION
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.
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.
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
- 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.
INTRODUCTION
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.
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.
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
- 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.
Data Scientist Job Roles in Tennessee
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Search Data Scientist Jobs in TennesseeData Scientist Jobs in Tennessee: Frequently Asked Questions
Which companies sponsor visas for data scientists in Tennessee?
Healthcare organizations are among the most active sponsors for data scientists in Tennessee. HCA Healthcare and Vanderbilt University Medical Center in Nashville have filed H-1B visa petitions for data and analytics roles. Federal Express and AutoZone in Memphis also sponsor for data science positions. Research universities including the University of Tennessee and Vanderbilt University sponsor international data scientists through both corporate and academic hiring channels.
Which visa types are most common for data scientist roles in Tennessee?
The H-1B is the most common visa category for data scientist roles in Tennessee, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, mathematics, or a related field. Candidates with a master's or PhD may benefit from the advanced degree exemption in the H-1B lottery. Some university-employed data scientists also work under J-1 visa or O-1 visas depending on their background.
Which cities in Tennessee have the most data scientist sponsorship jobs?
Nashville accounts for the largest share of data scientist sponsorship activity in Tennessee, driven by its healthcare IT sector and growing tech presence. Knoxville has a notable cluster of research and government-adjacent roles, partly connected to Oak Ridge National Laboratory. Memphis contributes through logistics and supply chain analytics employers. For international candidates, Nashville offers the broadest range of sponsoring employers across industries.
How to find data scientist visa sponsorship jobs in Tennessee?
Migrate Mate is built specifically for international job seekers and filters data scientist roles in Tennessee by visa sponsorship eligibility, saving you the time of screening out employers who don't sponsor. You can browse active listings from Tennessee employers who have a documented history of sponsoring work visas for data science and analytics roles, including positions in Nashville's healthcare sector and Knoxville's research institutions.
Are there state-specific factors that affect data scientist sponsorship in Tennessee?
Tennessee has no state income tax, which affects prevailing wage comparisons since take-home pay differs from states with income tax, though the Department of Labor sets H-1B prevailing wages based on the local metropolitan area regardless of state tax policy. Tennessee's Oak Ridge National Laboratory creates demand for data scientists with research backgrounds, though some positions there require security clearances that can limit sponsorship eligibility for non-citizens. Healthcare dominance in the state means many data scientist roles focus on clinical and claims data.
What is the prevailing wage for sponsored data scientist jobs in Tennessee?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.