Data Scientist Visa Sponsorship Jobs in North Carolina
Data scientist roles in North Carolina are concentrated in the Research Triangle, where employers like SAS Institute, IBM, and Lenovo regularly hire for advanced analytics positions. The state's dense network of research universities, pharmaceutical companies in Durham, and growing fintech presence in Charlotte make it one of the more active markets for visa-sponsored data science work.
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Get Access To All JobsGeneral Information
Location
Cary, North Carolina
Alternative Location(s)
* Posting Location: Tampa, Florida
Working Schedule
Full-Time
Work Arrangement
Hybrid
Travel Required
10%
Relocation Assistance Available
No
Grade
10T
Posted Date
11-Sep-2026
Job ID
20403
Description and Requirements
The Team You Will Join
At MetLife, data isn’t just a tool – it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We’re building the future of data – one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business – you’re empowering it. Let’s transform insight into impact and data into action, together.
The Opportunity
The Data Scientist II is responsible for designing and implementing scalable data science, machine learning, Generative AI, and advanced analytics solutions that drive business value and informed decision-making. This role supports the full analytics lifecycle including data acquisition, SQL development, data preparation, feature engineering, model development, deployment, monitoring, and responsible AI practices. The position contributes to production-ready solutions using modern AI technologies and responsible AI principles.
Key Responsibilities
- Design, build, validate, deploy, monitor, and optimize analytics, machine learning, and AI solutions.
- Perform data extraction, SQL development, data preparation, exploratory analysis, feature engineering, and model evaluation.
- Develop production-grade predictive and Generative AI solutions using structured and unstructured data.
- Support foundation model adaptation, prompt engineering, embeddings, vector databases, RAG-based AI applications, and agentic AI workflows.
- Utilize Databricks, Apache Spark, and cloud-based analytics environments where applicable.
- Generate actionable insights and communicate business impact to stakeholders.
- Monitor solution performance and drive continuous improvement.
- Leverage AI-augmented tools to enhance productivity while ensuring output quality.
- Collaborate with Business, Technology, Operations, and D&A capabilities including Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, DevOps, and BI & Insights teams.
- Ensure adherence to quality, security, compliance, explainability, MLOps, model governance, and responsible AI standards.
Required Qualifications
- Bachelor's degree in Mathematics, Statistics, Operations Research, Computer Science, Engineering, Social Sciences, or related quantitative field.
- 3-5 years of experience in data science, analytics, machine learning, or related quantitative disciplines.
- Hands-on experience with Python, SQL, statistics, hypothesis testing, feature engineering, and predictive modeling.
- Experience with one or more machine learning frameworks (Scikit-learn OR TensorFlow OR PyTorch).
- Experience with data preparation, data wrangling, analytics solution development, and stakeholder engagement.
- Foundational knowledge of Generative AI including large language models, prompting, embeddings, vector stores, and RAG.
- Strong analytical, communication, and structured problem-solving skills.
Preferred Qualifications
- Experience with Databricks, Apache Spark, or cloud analytics platforms.
- Experience with NLP technologies including spaCy, Transformers, OCR, or related tools.
- Knowledge of agentic AI architectures, multi-agent workflows, AI copilots, and AI-augmented development environments.
- Exposure to model evaluation, benchmarking, monitoring, and MLOps fundamentals.
- Portfolio of academic, internship, personal, or professional data science projects.
Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $90,000 - $115,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife’s U.S. benefits, please click here.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
This posting is for a current vacancy and is anticipated to remain open for at least 30 days from the listed posting date.
General Information
Location
Cary, North Carolina
Alternative Location(s)
* Posting Location: Tampa, Florida
Working Schedule
Full-Time
Work Arrangement
Hybrid
Travel Required
10%
Relocation Assistance Available
No
Grade
10T
Posted Date
11-Sep-2026
Job ID
20403
Description and Requirements
The Team You Will Join
At MetLife, data isn’t just a tool – it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We’re building the future of data – one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business – you’re empowering it. Let’s transform insight into impact and data into action, together.
The Opportunity
The Data Scientist II is responsible for designing and implementing scalable data science, machine learning, Generative AI, and advanced analytics solutions that drive business value and informed decision-making. This role supports the full analytics lifecycle including data acquisition, SQL development, data preparation, feature engineering, model development, deployment, monitoring, and responsible AI practices. The position contributes to production-ready solutions using modern AI technologies and responsible AI principles.
Key Responsibilities
- Design, build, validate, deploy, monitor, and optimize analytics, machine learning, and AI solutions.
- Perform data extraction, SQL development, data preparation, exploratory analysis, feature engineering, and model evaluation.
- Develop production-grade predictive and Generative AI solutions using structured and unstructured data.
- Support foundation model adaptation, prompt engineering, embeddings, vector databases, RAG-based AI applications, and agentic AI workflows.
- Utilize Databricks, Apache Spark, and cloud-based analytics environments where applicable.
- Generate actionable insights and communicate business impact to stakeholders.
- Monitor solution performance and drive continuous improvement.
- Leverage AI-augmented tools to enhance productivity while ensuring output quality.
- Collaborate with Business, Technology, Operations, and D&A capabilities including Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, DevOps, and BI & Insights teams.
- Ensure adherence to quality, security, compliance, explainability, MLOps, model governance, and responsible AI standards.
Required Qualifications
- Bachelor's degree in Mathematics, Statistics, Operations Research, Computer Science, Engineering, Social Sciences, or related quantitative field.
- 3-5 years of experience in data science, analytics, machine learning, or related quantitative disciplines.
- Hands-on experience with Python, SQL, statistics, hypothesis testing, feature engineering, and predictive modeling.
- Experience with one or more machine learning frameworks (Scikit-learn OR TensorFlow OR PyTorch).
- Experience with data preparation, data wrangling, analytics solution development, and stakeholder engagement.
- Foundational knowledge of Generative AI including large language models, prompting, embeddings, vector stores, and RAG.
- Strong analytical, communication, and structured problem-solving skills.
Preferred Qualifications
- Experience with Databricks, Apache Spark, or cloud analytics platforms.
- Experience with NLP technologies including spaCy, Transformers, OCR, or related tools.
- Knowledge of agentic AI architectures, multi-agent workflows, AI copilots, and AI-augmented development environments.
- Exposure to model evaluation, benchmarking, monitoring, and MLOps fundamentals.
- Portfolio of academic, internship, personal, or professional data science projects.
Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $90,000 - $115,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife’s U.S. benefits, please click here.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
This posting is for a current vacancy and is anticipated to remain open for at least 30 days from the listed posting date.
Data Scientist Job Roles in North Carolina
See all 98+ Data Scientist Jobs in North Carolina
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Search Data Scientist Jobs in North CarolinaData Scientist Jobs in North Carolina: Frequently Asked Questions
Which companies in North Carolina sponsor visas for data scientists?
SAS Institute in Cary, IBM and Lenovo in the Research Triangle, and pharmaceutical companies like Biogen and Novo Nordisk in Durham have established track records of sponsoring H-1B visas for data scientists. Bank of America and Wells Fargo in Charlotte also regularly file H-1B petitions for quantitative and data roles. DOL LCA disclosure data confirms filings from all of these employers for data science positions.
Which visa types are most common for data scientist roles in North Carolina?
The H-1B is the most common visa for data scientists in North Carolina, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like statistics, computer science, or mathematics. Candidates already holding OPT or STEM OPT through universities such as NC State, Duke, or UNC can work while their employer initiates sponsorship. The O-1A is an option for those with exceptional research credentials.
Which cities in North Carolina have the most data scientist visa sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, and Chapel Hill, accounts for the majority of data scientist sponsorship activity in the state. The presence of NC State, Duke, and UNC fuels a strong pipeline of technical talent and draws employers who sponsor visas. Charlotte is the secondary hub, particularly for data scientists in financial services and healthcare analytics at companies like Atrium Health.
How to find data scientist visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data scientist roles in North Carolina without sifting through positions that don't offer sponsorship. The platform surfaces roles from employers who have active sponsorship histories in the state, including companies in the Research Triangle and Charlotte. Filtering by role and state on Migrate Mate gives you a focused list relevant to your situation.
Are there any North Carolina-specific factors data scientists should know about visa sponsorship?
North Carolina's Research Triangle Park concentration means many sponsoring employers are in life sciences, enterprise software, and advanced manufacturing, sectors where data science roles are well-established and sponsorship is relatively normalized. Employers in these industries are familiar with H-1B processes. NC State and Duke also operate strong OPT-to-sponsorship pipelines, so local hiring managers are accustomed to working with international candidates on work authorization transitions.
What is the prevailing wage for sponsored data scientist jobs in North Carolina?
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.