Senior Data Science Engineer Visa Sponsorship Jobs in Georgia
Senior data science engineer visa sponsorship jobs in Georgia are concentrated in Atlanta, where companies like NCR Voyix, Cox Enterprises, Delta Air Lines, and a growing cluster of fintech and healthtech firms actively hire for advanced ML and data engineering roles. Georgia Tech's pipeline and the city's expanding tech sector keep demand steady for experienced candidates.
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Get Access To All JobsPosition Purpose:
The Data Science Sr. Manager is responsible for leading a team of data scientists, technical experts, and people leaders focused on improving customer and delivery experiences through AI, machine learning and agentic solutions. This role is accountable for identifying, developing, and scaling intelligence-driven capabilities that proactively prevent customer issues, improve resolution experiences, optimize operational outcomes, and create measurable business value.
This leader will partner closely with Product, Engineering, Analytics, Operations, and Customer Experience teams to translate business opportunities into scalable data science and AI solutions. Areas of focus may include proactive issue prevention, customer journey optimization, conversational AI, intelligent decisioning, delivery experience, and agentic workflows that drive both customer satisfaction and operational efficiency. This role is expected to identify new opportunities, shape strategic roadmaps, influence senior leaders, and communicate complex technical concepts to both technical and non-technical audiences.
Additionally, this leader will collaborate across Data Science teams to align strategies, share best practices, and develop talent. Success in this role requires strong business acumen, technical depth, cross-functional leadership, relationship building, and the ability to connect data science investments to meaningful customer and business outcomes.
Key Responsibilities:
-
50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments
-
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs
-
25% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management
-
10% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged
Direct Manager/Direct Reports:
This position reports to Director or above
This position has Direct Reports and manages programs
Travel Requirements:
Typically requires overnight travel 5% to 20% 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.
- Demonstrated proficiency in predictive modeling, data mining and data analysis
- Proficient managing and growing team members in a professional setting
- Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting
- Demonstrated experience with translating high level strategy to tactical execution
Preferred Qualifications:
- 10+ years of experience in data science, machine learning, AI, business intelligence, and analytics
- Previous people leadership or project team management experience
- Experience designing and operationalizing AI, machine learning, or intelligent decisioning solutions that drive customer, operational, or business outcomes
- Mastery running queries against large-scale datasets (preferably with SQL)
- Experience working with structured and unstructured data, including customer interactions, conversational data, text, or other customer experience signals
- Proficient in advanced AI and prescriptive modeling techniques such as optimization, generative AI, agentic workflows, or intelligent automation
- Strong ability to communicate technical concepts and business value to both technical and non-technical audiences
- Experience partnering with Product, Engineering and Business stakeholders to develop and scale data science solutions
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:
10
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
- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
- Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- 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 Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
- Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
- Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
- Persuades: Using compelling arguments to gain the support and commitment of others
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
Apply End Date: 06/01/2026
Position Purpose:
The Data Science Sr. Manager is responsible for leading a team of data scientists, technical experts, and people leaders focused on improving customer and delivery experiences through AI, machine learning and agentic solutions. This role is accountable for identifying, developing, and scaling intelligence-driven capabilities that proactively prevent customer issues, improve resolution experiences, optimize operational outcomes, and create measurable business value.
This leader will partner closely with Product, Engineering, Analytics, Operations, and Customer Experience teams to translate business opportunities into scalable data science and AI solutions. Areas of focus may include proactive issue prevention, customer journey optimization, conversational AI, intelligent decisioning, delivery experience, and agentic workflows that drive both customer satisfaction and operational efficiency. This role is expected to identify new opportunities, shape strategic roadmaps, influence senior leaders, and communicate complex technical concepts to both technical and non-technical audiences.
Additionally, this leader will collaborate across Data Science teams to align strategies, share best practices, and develop talent. Success in this role requires strong business acumen, technical depth, cross-functional leadership, relationship building, and the ability to connect data science investments to meaningful customer and business outcomes.
Key Responsibilities:
-
50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments
-
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs
-
25% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management
-
10% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged
Direct Manager/Direct Reports:
This position reports to Director or above
This position has Direct Reports and manages programs
Travel Requirements:
Typically requires overnight travel 5% to 20% 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.
- Demonstrated proficiency in predictive modeling, data mining and data analysis
- Proficient managing and growing team members in a professional setting
- Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting
- Demonstrated experience with translating high level strategy to tactical execution
Preferred Qualifications:
- 10+ years of experience in data science, machine learning, AI, business intelligence, and analytics
- Previous people leadership or project team management experience
- Experience designing and operationalizing AI, machine learning, or intelligent decisioning solutions that drive customer, operational, or business outcomes
- Mastery running queries against large-scale datasets (preferably with SQL)
- Experience working with structured and unstructured data, including customer interactions, conversational data, text, or other customer experience signals
- Proficient in advanced AI and prescriptive modeling techniques such as optimization, generative AI, agentic workflows, or intelligent automation
- Strong ability to communicate technical concepts and business value to both technical and non-technical audiences
- Experience partnering with Product, Engineering and Business stakeholders to develop and scale data science solutions
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:
10
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
- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
- Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- 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 Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
- Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
- Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
- Persuades: Using compelling arguments to gain the support and commitment of others
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
Apply End Date: 06/01/2026
Senior Data Science Engineer Job Roles in Georgia
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Search Senior Data Science Engineer Jobs in GeorgiaSenior Data Science Engineer Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for senior data science engineers?
Several large Georgia-based employers have a track record of sponsoring work visas for senior data science engineers, including NCR Voyix, Cox Enterprises, Delta Air Lines, Equifax, and Home Depot. Atlanta's growing fintech and healthtech sectors also include companies like Cardlytics and Anthem that hire at the senior data science level and have filed H-1B visa petitions through the Department of Labor's public disclosure data.
Which visa types are most common for senior data science engineer roles in Georgia?
The H-1B is the most common visa category for senior data science engineers in Georgia, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with prior employer approval may also work under H-1B transfers. Those with extraordinary ability or advanced research backgrounds sometimes pursue O-1A visas, while EB-2 or EB-3 immigrant visa pathways are used for longer-term sponsorship.
Which cities in Georgia have the most senior data science engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of senior data science engineer visa sponsorship jobs in Georgia. Specific neighborhoods and submarkets including Midtown, Buckhead, and the Perimeter area host significant tech and corporate headquarters. Outside Atlanta, smaller concentrations exist near Augusta and Savannah, though those markets are far less active for senior-level data science roles compared to the Atlanta metro.
How to find senior data science engineer visa sponsorship jobs in Georgia?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, and it lets you filter senior data science engineer roles to Georgia directly. Rather than sifting through general job listings where sponsorship is unclear, Migrate Mate surfaces positions where employers have a documented history of sponsoring work visas, saving significant time for candidates who need confirmed sponsorship to accept an offer.
Are there state-specific factors that affect senior data science engineer sponsorship hiring in Georgia?
Georgia Tech in Atlanta produces a strong local pipeline of data science and ML talent, which means employers in the state are experienced with international hires and student visa transitions from F-1 OPT to H-1B. Georgia has no state income tax advantage for employers, but its lower cost of operations compared to coastal tech hubs makes Atlanta attractive for corporate data teams. Prevailing wage requirements for H-1B filings are set at the federal level based on the Atlanta metropolitan statistical area, not negotiated at the state level.
What is the prevailing wage for sponsored senior data science engineer 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.