Data Contributor Visa Sponsorship Jobs in Georgia
Data contributor roles in Georgia are concentrated in Atlanta, where companies like NCR Voyix, Equifax, and Cox Enterprises have established significant data operations. The state's growing fintech corridor and presence of major logistics and media firms create steady demand for data contributors who need H-1B visa or OPT-based visa sponsorship.
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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 Contributor Job Roles in Georgia
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Search Data Contributor Jobs in GeorgiaData Contributor Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for data contributor roles?
Atlanta-based employers with active data operations are the most common sponsors for data contributor positions in Georgia. Equifax, NCR Voyix, Cox Enterprises, and Delta Air Lines have each filed Labor Condition Applications for data-related roles. Large consulting firms with Atlanta offices, including Accenture and IBM, also sponsor data contributors regularly. Sponsorship availability varies by team and hiring cycle, so checking current LCA filings through the DOL disclosure database gives the most accurate picture.
Which visa types are most common for data contributor jobs in Georgia?
The H-1B is the most frequently used visa for data contributor roles in Georgia, particularly for full-time positions at established employers. F-1 graduates working under OPT or STEM OPT extensions are also common, especially among candidates coming out of Georgia Tech or Georgia State University. Some multinational employers use L-1B visas for intracompany transfers into specialized data contributor roles. The right category depends on the employer's petition history and the applicant's current status.
Which cities in Georgia have the most data contributor visa sponsorship jobs?
Atlanta accounts for the overwhelming majority of data contributor sponsorship opportunities in Georgia. Midtown and Buckhead host a concentration of fintech, media, and enterprise technology employers that regularly hire for data roles. Alpharetta, a suburb north of Atlanta, has a notable cluster of financial technology companies with data teams. Outside Metro Atlanta, opportunities are significantly more limited, making the greater Atlanta area the primary target for international job seekers in this role.
How to find data contributor visa sponsorship jobs in Georgia?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it easier to identify data contributor roles in Georgia without sorting through positions that don't support international candidates. You can search by state and role type to surface employers in Atlanta and the surrounding metro area who have a documented history of sponsoring data contributors. This saves meaningful time compared to reviewing general job boards where sponsorship status is often unclear or missing.
Are there any Georgia-specific factors that affect visa sponsorship for data contributors?
Georgia Tech's pipeline produces a steady supply of data-focused graduates, which means employers in Atlanta are generally familiar with OPT and STEM OPT timelines for data contributor roles. The state's fintech and logistics sectors have active sponsorship histories, though smaller startups outside those industries may have limited prior H-1B experience. Prevailing wage determinations for data contributor positions in the Atlanta metro are set by the Department of Labor based on local wage surveys, which employers must meet when filing a Labor Condition Application.
What is the prevailing wage for sponsored data contributor 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.