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.
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Get Access To All JobsINTRODUCTION
Hunter Douglas is the world's leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we've defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.
We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What's yours?
Position Overview
Hunter Douglas is seeking a motivated and experienced Data Scientist to join our growing AI Analytics & Digital Transformation team. This individual will play a key role in advancing Hunter Douglas's digital and data-driven transformation by leveraging AI, machine learning, and advanced analytics to optimize operations, enhance customer experiences, and support strategic decision-making across our global business.
The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive measurable value — from predictive demand modeling and inventory optimization to intelligent automation and sustainability initiatives.
- Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain.
- Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability.
- Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals.
- Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve.
- Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges.
- Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital transformation initiatives.
- Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment.
- Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions.
- Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling.
- Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption.
- Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas's VIBE platform and data ecosystem.
- Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility.
- Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications.
- Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows.
Who you are
- Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related).
- 5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context.
- Strong proficiency in Python, R, or SQL for data science and model development.
- Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP).
- Proven ability to design and operationalize data science solutions in real-world environments.
- Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics.
- Knowledge of data visualization and BI tools (Power BI, Tableau, or similar).
- Strong problem-solving, analytical, and communication skills.
- Familiarity with version control (Git) and collaborative development practices.
Preferred Education, Experience, and Skills:
- Master's in Data Science, Engineering, Statistics, or related quantitative discipline.
- Experience working in manufacturing, supply chain, or consumer goods industries.
- Knowledge of IoT data analytics, predictive maintenance, or computer vision in industrial applications.
- Understanding of AI frameworks and automation pipelines for large-scale AI deployment.
- Proven ability to manage multiple projects and deliver business impact through analytics.
- Strong collaboration and communication skills to engage with diverse business teams.
- Experience working with ERP and supply chain systems (SAP, Kinaxis, Oracle, etc.).
Travel:
- Travel up to 20% may be required for project collaboration and site visits.
What's in it for you
- Annual base salary range: $95000-$125000
- Bonus target range: 20%-25%
- Generous benefits package including medical, dental, vision, life, disability
- A company culture that prioritizes internal development and professional growth
- Time off with pay
- 401(k) plan with a degree of employer matching
- Paid parental leave
- Wellness programs and product discounts
Please note, all offers presented to candidates are carefully crafted to ensure market competitiveness, equity, and reflect the individual candidate's education, experience, skills and potential.
Hunter Douglas is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.
LI-SA1
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By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text "STOP" to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, or terms of use.
INTRODUCTION
Hunter Douglas is the world's leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we've defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.
We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What's yours?
Position Overview
Hunter Douglas is seeking a motivated and experienced Data Scientist to join our growing AI Analytics & Digital Transformation team. This individual will play a key role in advancing Hunter Douglas's digital and data-driven transformation by leveraging AI, machine learning, and advanced analytics to optimize operations, enhance customer experiences, and support strategic decision-making across our global business.
The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive measurable value — from predictive demand modeling and inventory optimization to intelligent automation and sustainability initiatives.
- Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain.
- Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability.
- Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals.
- Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve.
- Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges.
- Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital transformation initiatives.
- Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment.
- Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions.
- Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling.
- Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption.
- Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas's VIBE platform and data ecosystem.
- Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility.
- Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications.
- Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows.
Who you are
- Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related).
- 5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context.
- Strong proficiency in Python, R, or SQL for data science and model development.
- Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP).
- Proven ability to design and operationalize data science solutions in real-world environments.
- Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics.
- Knowledge of data visualization and BI tools (Power BI, Tableau, or similar).
- Strong problem-solving, analytical, and communication skills.
- Familiarity with version control (Git) and collaborative development practices.
Preferred Education, Experience, and Skills:
- Master's in Data Science, Engineering, Statistics, or related quantitative discipline.
- Experience working in manufacturing, supply chain, or consumer goods industries.
- Knowledge of IoT data analytics, predictive maintenance, or computer vision in industrial applications.
- Understanding of AI frameworks and automation pipelines for large-scale AI deployment.
- Proven ability to manage multiple projects and deliver business impact through analytics.
- Strong collaboration and communication skills to engage with diverse business teams.
- Experience working with ERP and supply chain systems (SAP, Kinaxis, Oracle, etc.).
Travel:
- Travel up to 20% may be required for project collaboration and site visits.
What's in it for you
- Annual base salary range: $95000-$125000
- Bonus target range: 20%-25%
- Generous benefits package including medical, dental, vision, life, disability
- A company culture that prioritizes internal development and professional growth
- Time off with pay
- 401(k) plan with a degree of employer matching
- Paid parental leave
- Wellness programs and product discounts
Please note, all offers presented to candidates are carefully crafted to ensure market competitiveness, equity, and reflect the individual candidate's education, experience, skills and potential.
Hunter Douglas is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.
LI-SA1
L1 - HYBRID
By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text "STOP" to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, or terms of use.
Data Scientist Job Roles in Georgia
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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 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 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.
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