ML Software Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's ML software engineer market is anchored by healthcare technology employers in Nashville, financial services firms in Memphis, and a growing tech presence in Knoxville tied to Oak Ridge National Laboratory. Companies like HCA Healthcare, FedEx, and Vanderbilt University Medical Center have sponsored ML engineering roles, making Tennessee a meaningful destination for international candidates.
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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.
ML Software Engineer Job Roles in Tennessee
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Search ML Software Engineer Jobs in TennesseeML Software Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies in Tennessee sponsor visas for ML software engineers?
Healthcare technology companies lead sponsorship activity in Tennessee, with Nashville-based employers like HCA Healthcare and Change Healthcare filing H-1B visa petitions for ML engineering roles. Logistics and financial services firms in Memphis, including FedEx and AutoZone, have also sponsored ML positions. Oak Ridge National Laboratory near Knoxville offers another pathway, particularly for candidates with research-oriented machine learning backgrounds.
Which visa types are most common for ML software engineer roles in Tennessee?
The H-1B is the most common visa category for ML software engineers in Tennessee, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with exceptional research records may also encounter O-1A petitions. International students completing degrees at Tennessee universities often bridge through OPT or STEM OPT before an employer files an H-1B petition.
Which cities in Tennessee have the most ML software engineer sponsorship jobs?
Nashville concentrates the largest share of ML sponsorship activity in Tennessee, driven by its healthcare technology sector and growing startup ecosystem. Knoxville is a secondary hub, where proximity to Oak Ridge National Laboratory and the University of Tennessee creates demand for research-oriented ML engineers. Memphis adds additional opportunities through its logistics and supply chain technology employers, though at lower volume than Nashville.
How to find ml software engineer visa sponsorship jobs in Tennessee?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to browse ML software engineer openings in Tennessee without sorting through roles that exclude international candidates. The platform surfaces positions from healthcare technology, logistics, and research-sector employers across Nashville, Knoxville, and Memphis, giving you a targeted view of where active sponsorship opportunities exist for this role in the state.
Are there any state-specific considerations for ML software engineers seeking sponsorship in Tennessee?
Tennessee's ML engineering market is shaped heavily by healthcare data applications, so candidates with experience in predictive modeling, clinical NLP, or medical imaging often find stronger employer interest in the Nashville area. Oak Ridge National Laboratory also sponsors researchers under unique federal contractor arrangements. Tennessee has no state income tax, which is worth factoring into compensation discussions, though prevailing wage obligations under H-1B rules still apply at the federal level.
What is the prevailing wage for sponsored ml software engineer 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.