Data Scientist Visa Sponsorship Jobs in Georgia
Data scientist visa sponsorship jobs in Georgia are concentrated in Atlanta, where employers like NCR Voyix, Cox Enterprises, and Delta Air Lines hire for analytics and machine learning roles. The state's growing fintech sector, Emory University research ties, and Centers for Disease Control proximity create steady demand across healthcare, finance, and logistics.
Find Data Scientist JobsOverview
Showing 5 of 56+ Data Scientist Jobs in Georgia with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 56+ Data Scientist Jobs in Georgia with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist Jobs in Georgia with Visa Sponsorship.
Get Access To All JobsPosition Purpose:
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Key Responsibilities:
-
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
-
30% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team
-
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
-
15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented
Direct Manager/Direct Reports:
This position reports to manager or above
This position has 0 Direct Reports
Travel Requirements:
Typically requires overnight travel less than 10% of the time.
Physical Requirements:
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications:
- PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
- 6+ years of experience in business intelligence and analytics
- Working knowledge of Microsoft Excel and Power Point
- Proficient in a modern scripting language (preferably Python)
- Proficient running queries against data (preferably with Google BigQuery or SQL)
- Proficient with data visualization software (preferably Tableau)
- Mastery utilizing statistical techniques to identify key insights that help solve business problems
- Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
- Demonstrated proficiency in predictive modeling, data mining and data analysis
Minimum Education:
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
No additional education
Minimum Years of Work Experience:
5
Preferred Years of Work Experience:
No additional years of experience
Minimum Leadership Experience:
None
Preferred Leadership Experience:
None
Certifications:
None
Competencies:
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
- Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Cultivates Innovation: Creating new and better ways for the organization to be successful
- Customer Focus: Building strong customer relationships and delivering customer-centric solutions
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Directs Work: Provides direction, delegating and removing obstacles to get work done
- Drives Results: Consistently achieving results, even under tough circumstances
- Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
- Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
- Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
Position Purpose:
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Key Responsibilities:
-
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
-
30% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team
-
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
-
15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented
Direct Manager/Direct Reports:
This position reports to manager or above
This position has 0 Direct Reports
Travel Requirements:
Typically requires overnight travel less than 10% of the time.
Physical Requirements:
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications:
- PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
- 6+ years of experience in business intelligence and analytics
- Working knowledge of Microsoft Excel and Power Point
- Proficient in a modern scripting language (preferably Python)
- Proficient running queries against data (preferably with Google BigQuery or SQL)
- Proficient with data visualization software (preferably Tableau)
- Mastery utilizing statistical techniques to identify key insights that help solve business problems
- Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
- Demonstrated proficiency in predictive modeling, data mining and data analysis
Minimum Education:
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
No additional education
Minimum Years of Work Experience:
5
Preferred Years of Work Experience:
No additional years of experience
Minimum Leadership Experience:
None
Preferred Leadership Experience:
None
Certifications:
None
Competencies:
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
- Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Cultivates Innovation: Creating new and better ways for the organization to be successful
- Customer Focus: Building strong customer relationships and delivering customer-centric solutions
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Directs Work: Provides direction, delegating and removing obstacles to get work done
- Drives Results: Consistently achieving results, even under tough circumstances
- Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
- Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
- Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
Data Scientist Job Roles in Georgia
See all 56+ Data Scientist Jobs in Georgia
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Scientist Jobs in GeorgiaData Scientist Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for data scientists?
Atlanta-based employers are the primary sponsors for data scientist roles in Georgia. Companies like Delta Air Lines, Cox Enterprises, NCR Voyix, and Home Depot regularly file H-1B visa petitions for data science positions. Healthcare organizations tied to the Emory and Georgia Tech ecosystems, along with fintech firms concentrated in the Buckhead and Midtown corridors, also sponsor data scientists with meaningful frequency.
Which visa types are most common for data scientist roles in Georgia?
The H-1B is the most common visa for data scientists in Georgia, given that the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding OPT or STEM OPT can work for a sponsoring employer before the H-1B petition is filed. Some senior research-track roles may also see O-1 visa petitions for candidates with exceptional publication or award records.
Which cities in Georgia have the most data scientist visa sponsorship jobs?
Atlanta accounts for the overwhelming majority of data scientist sponsorship jobs in Georgia. Midtown and Buckhead host technology and financial services employers, while the Emory University and Georgia Tech corridors in the northeast part of the city generate demand for research-oriented data roles. Smaller concentrations exist in Athens and Savannah, but candidates focused on sponsorship will find the broadest opportunity within the Atlanta metro.
How to find data scientist visa sponsorship jobs in Georgia?
Migrate Mate is built specifically for international candidates and filters data scientist roles in Georgia by visa sponsorship history, so you are not sorting through listings from employers who do not sponsor. Because sponsorship intent is not always stated in job postings, using a platform that surfaces employers with a documented H-1B filing track record in Georgia saves significant time and helps you focus your applications where sponsorship is genuinely on the table.
Are there state-specific factors that affect data scientist sponsorship in Georgia?
Georgia's concentration of Fortune 500 headquarters in Atlanta means many sponsoring employers are large enough to absorb the cost and process overhead of H-1B petitions. The Georgia Tech pipeline produces a consistent pool of international graduates in data science and machine learning, which normalizes sponsorship among tech and analytics employers in the region. The presence of the CDC and Emory also creates a distinct cluster of public health and epidemiology data roles that can support sponsorship for candidates with relevant research backgrounds.
What is the prevailing wage for sponsored data scientist 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.