Data Science Manager Visa Sponsorship Jobs in Georgia
Data science manager roles in Georgia are concentrated in Atlanta, where major employers like NCR Voyix, Cox Enterprises, Delta Air Lines, and Anthem have built analytics teams. The state's growing fintech corridor and the presence of Georgia Tech create consistent demand for senior data leadership, and many of these employers have established H-1B visa sponsorship track records.
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HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.
As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.
The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intelligent automation, large language models (LLMs), agentic AI, and decision-support solutions. Interns will gain exposure to enterprise-scale datasets, cloud-based analytical environments, and the practical application of AI technologies within a large, complex organization.
This internship is designed for graduate-level talent seeking hands-on experience translating advanced analytics and AI concepts into measurable business outcomes.
Key Responsibilities
- Analyze large and complex datasets to identify trends, opportunities, and business insights.
- Support the development, testing, and refinement of machine learning and AI models.
- Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
- Develop visualizations, dashboards, reports, and presentations to communicate findings.
- Partner with business stakeholders to understand challenges and translate them into analytical solutions.
- Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
- Document methodologies, assumptions, findings, and recommendations.
- Present project outcomes and insights to technical and non-technical audiences.
Required Qualifications
- Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
- Anticipated graduation date of December 2027 or May 2028.
- Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
- Proficiency in Python, SQL, or other analytical programming languages.
- Strong analytical, quantitative, and problem-solving skills.
- Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
- Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
- Previous full-time professional work experience, internship experience, or relevant industry experience in analytics, data science, software engineering, artificial intelligence, machine learning, or a related field.
- Experience developing machine learning models or AI solutions through academic research, professional work, internships, or personal projects.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Familiarity with large language models (LLMs), generative AI frameworks, or agentic AI applications.
- Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
- Exposure to MLOps, model monitoring, experimentation frameworks, or deployment practices.
- Experience working with large-scale datasets and advanced statistical techniques.
Job Summary
Gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.
Major Tasks, Responsibilities, and Key Accountabilities
- Prepares and delivers insights and recommendations based on analyses.
- Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
- Executes tasks directly related to functional projects and/or process improvements.
- Communicates issues and roadblocks related to areas of responsibility.
- May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.
Nature and Scope
- Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data.
- Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
- May provide general guidance/direction to or train junior level support personnel.
Work Environment
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
- Typically requires overnight travel less than 10% of the time.
Education and Experience
- Typically requires BS/BA in a related discipline. Certification may be required in some areas. Generally 0-2 years of experience in a related field OR MS/MA and generally 0-1 year of experience in a related field.
Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
About the Role
HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.
As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.
The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intelligent automation, large language models (LLMs), agentic AI, and decision-support solutions. Interns will gain exposure to enterprise-scale datasets, cloud-based analytical environments, and the practical application of AI technologies within a large, complex organization.
This internship is designed for graduate-level talent seeking hands-on experience translating advanced analytics and AI concepts into measurable business outcomes.
Key Responsibilities
- Analyze large and complex datasets to identify trends, opportunities, and business insights.
- Support the development, testing, and refinement of machine learning and AI models.
- Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
- Develop visualizations, dashboards, reports, and presentations to communicate findings.
- Partner with business stakeholders to understand challenges and translate them into analytical solutions.
- Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
- Document methodologies, assumptions, findings, and recommendations.
- Present project outcomes and insights to technical and non-technical audiences.
Required Qualifications
- Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
- Anticipated graduation date of December 2027 or May 2028.
- Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
- Proficiency in Python, SQL, or other analytical programming languages.
- Strong analytical, quantitative, and problem-solving skills.
- Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
- Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
- Previous full-time professional work experience, internship experience, or relevant industry experience in analytics, data science, software engineering, artificial intelligence, machine learning, or a related field.
- Experience developing machine learning models or AI solutions through academic research, professional work, internships, or personal projects.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Familiarity with large language models (LLMs), generative AI frameworks, or agentic AI applications.
- Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
- Exposure to MLOps, model monitoring, experimentation frameworks, or deployment practices.
- Experience working with large-scale datasets and advanced statistical techniques.
Job Summary
Gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.
Major Tasks, Responsibilities, and Key Accountabilities
- Prepares and delivers insights and recommendations based on analyses.
- Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
- Executes tasks directly related to functional projects and/or process improvements.
- Communicates issues and roadblocks related to areas of responsibility.
- May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.
Nature and Scope
- Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data.
- Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
- May provide general guidance/direction to or train junior level support personnel.
Work Environment
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
- Typically requires overnight travel less than 10% of the time.
Education and Experience
- Typically requires BS/BA in a related discipline. Certification may be required in some areas. Generally 0-2 years of experience in a related field OR MS/MA and generally 0-1 year of experience in a related field.
Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Data Science Manager Job Roles in Georgia
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Search Data Science Manager Jobs in GeorgiaData Science Manager Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for data science managers?
Atlanta-headquartered companies with documented H-1B sponsorship histories for data and analytics leadership include Delta Air Lines, Cox Enterprises, NCR Voyix, Anthem, and SunTrust (now Truist). Georgia-based technology firms and consultancies such as Infosys and Wipro, which maintain large Atlanta offices, also regularly sponsor data science managers. Checking Department of Labor LCA disclosure data confirms which employers have filed for senior data roles.
Which visa types are most common for data science manager roles in Georgia?
The H-1B is the most common visa category for data science managers in Georgia, given that the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates already in the U.S. on OPT or STEM OPT extensions frequently transition through employer-sponsored H-1B petitions. Those with multinational backgrounds may also qualify for L-1A intracompany transfer visas if moving from an overseas office.
Which cities in Georgia have the most data science manager sponsorship jobs?
Atlanta accounts for the overwhelming majority of data science manager sponsorship opportunities in Georgia. Midtown and Buckhead host technology and financial services headquarters, while the Atlanta Tech Village area has a concentration of growth-stage companies building data teams. Smaller markets like Alpharetta, which hosts financial technology firms, and Augusta, where healthcare and government contractors operate, offer a secondary tier of opportunities but at much lower volume than Atlanta.
How to find data science manager visa sponsorship jobs in Georgia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science manager roles in Georgia without sorting through positions that won't support international candidates. You can filter by location to focus on Atlanta and surrounding metro areas, where sponsorship activity is highest. Migrate Mate's listings are sourced from employers with verified sponsorship histories, which saves significant time compared to applying broadly and asking about sponsorship after the fact.
Are there state-specific considerations for data science manager sponsorship in Georgia?
Georgia does not have state-level visa programs, so sponsorship follows federal H-1B rules including prevailing wage requirements set by the Department of Labor for the Atlanta-Sandy Springs-Alpharetta metropolitan area. Georgia Tech's strong pipeline of graduate talent in machine learning and data engineering means employers are experienced hiring international candidates, which generally makes Atlanta-area hiring managers more familiar with sponsorship processes than employers in smaller U.S. markets.
What is the prevailing wage for sponsored data science manager jobs in Georgia?
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.