Data Scientist Visa Sponsorship Jobs in Arizona
Data scientist visa sponsorship jobs in Arizona are concentrated in Phoenix and Scottsdale, where companies like Intel, Banner Health, and Honeywell have active data science hiring programs. The state's growing tech corridor along the Price Road Corridor and strong university pipeline from Arizona State University make it a legitimate destination for international data scientists seeking H-1B visa sponsorship.
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Get Access To All JobsNOTIFICATION OF JOB OPENING
The following listed position is available, and I am currently accepting interviews. If anyone possesses the qualifications listed below, can perform the noted job duties and would like to apply for this position, please contact me as soon as possible.
JOB INFORMATION
Job Title of Opening: Data Scientist
Position is for a Data Scientist (internal title: Technical Project Manager) responsible for the development of NuoData, which is an AI powered data management platform that is proprietary to NucleusTeq, Inc. Duties include, but are not limited to:
- Develop and manage project roadmaps for AI and Machine Learning-driven products, ensuring timely delivery of features that leverage large-scale data models and AI systems
- Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments
- Collaborate with stakeholders to define AI/ML and data product requirements, ensuring alignment with business goals and project objectives for large-scale data solutions
- Oversee the development, testing, and deployment of AI and machine learning models, ensuring that models meet performance, accuracy, and scalability requirements
- Ensure effective data collection, cleaning, and transformation processes, applying best practices in data governance to ensure that AI and ML models are built on high-quality, structured data
- Continuously monitor and evaluate the performance of AI/ML models using appropriate metrics (e.g., accuracy, precision, recall, F1-score) and adjust models as needed based on feedback and performance reports
- Oversee the integration and deployment of LLMs (e.g., GPT, BERT) into products for NLP tasks such as sentiment analysis, chatbots, and customer service automation
- Implement Agile Scrum or Kanban methodologies for AI/ML projects, ensuring iterative and incremental development of machine learning models, and continuous delivery of AI-driven features
- Perform exploratory data analysis (EDA) on large datasets to identify trends, patterns, and insights that inform AI model development and data-driven decision-making
- Act as the primary point of contact for stakeholders, providing regular updates on the progress of AI/ML projects and translating complex technical data into business friendly insights
- Proactively identify and manage risks related to the deployment of AI/ML models, such as data quality issues, model performance degradation, and biases in AI algorithms
- Implement monitoring frameworks to evaluate the real-world performance of AI/ML models post-deployment, ensuring models adapt and evolve based on new data and user feedback
- Ensure AI/ML models comply with industry regulations and ethical guidelines, managing data privacy, bias mitigation, and transparency in model decision-making processes
- Use insights from data analysis and AI models to recommend product enhancements and optimizations, leading to improved user experience and business outcomes
- Provide mentorship to junior team members on AI/ML concepts, best practices for model development, and data engineering techniques
BASIC QUALIFICATIONS
Requires a Master's Degree in Data Analytics and 6 months of experience. Experience as a Deputy Manager is acceptable, or any suitable combination of education, training or experience thereof.
LOCATION
Job Site: Employee is permitted to work remotely from his or her home residence, but will at times be required to travel to various unanticipated jobsites within the United States.
COMPENSATION
- Full Time Hours: 40
- Salary: $115,710 per Year
- Scheduled Days: Monday – Friday
Posted and kept in full, unobstructed view on our company bulletin board for 10 consecutive business days from Monday June 1, 2026 through Friday June 12, 2026.
This notice is being posted in connection with the filing of a Permanent Labor Application. Any person may provide documentary evidence bearing on the application to the following address:
U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.
Ankita Sharma
Director-Human Empowerment Group
NOTIFICATION OF JOB OPENING
The following listed position is available, and I am currently accepting interviews. If anyone possesses the qualifications listed below, can perform the noted job duties and would like to apply for this position, please contact me as soon as possible.
JOB INFORMATION
Job Title of Opening: Data Scientist
Position is for a Data Scientist (internal title: Technical Project Manager) responsible for the development of NuoData, which is an AI powered data management platform that is proprietary to NucleusTeq, Inc. Duties include, but are not limited to:
- Develop and manage project roadmaps for AI and Machine Learning-driven products, ensuring timely delivery of features that leverage large-scale data models and AI systems
- Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments
- Collaborate with stakeholders to define AI/ML and data product requirements, ensuring alignment with business goals and project objectives for large-scale data solutions
- Oversee the development, testing, and deployment of AI and machine learning models, ensuring that models meet performance, accuracy, and scalability requirements
- Ensure effective data collection, cleaning, and transformation processes, applying best practices in data governance to ensure that AI and ML models are built on high-quality, structured data
- Continuously monitor and evaluate the performance of AI/ML models using appropriate metrics (e.g., accuracy, precision, recall, F1-score) and adjust models as needed based on feedback and performance reports
- Oversee the integration and deployment of LLMs (e.g., GPT, BERT) into products for NLP tasks such as sentiment analysis, chatbots, and customer service automation
- Implement Agile Scrum or Kanban methodologies for AI/ML projects, ensuring iterative and incremental development of machine learning models, and continuous delivery of AI-driven features
- Perform exploratory data analysis (EDA) on large datasets to identify trends, patterns, and insights that inform AI model development and data-driven decision-making
- Act as the primary point of contact for stakeholders, providing regular updates on the progress of AI/ML projects and translating complex technical data into business friendly insights
- Proactively identify and manage risks related to the deployment of AI/ML models, such as data quality issues, model performance degradation, and biases in AI algorithms
- Implement monitoring frameworks to evaluate the real-world performance of AI/ML models post-deployment, ensuring models adapt and evolve based on new data and user feedback
- Ensure AI/ML models comply with industry regulations and ethical guidelines, managing data privacy, bias mitigation, and transparency in model decision-making processes
- Use insights from data analysis and AI models to recommend product enhancements and optimizations, leading to improved user experience and business outcomes
- Provide mentorship to junior team members on AI/ML concepts, best practices for model development, and data engineering techniques
BASIC QUALIFICATIONS
Requires a Master's Degree in Data Analytics and 6 months of experience. Experience as a Deputy Manager is acceptable, or any suitable combination of education, training or experience thereof.
LOCATION
Job Site: Employee is permitted to work remotely from his or her home residence, but will at times be required to travel to various unanticipated jobsites within the United States.
COMPENSATION
- Full Time Hours: 40
- Salary: $115,710 per Year
- Scheduled Days: Monday – Friday
Posted and kept in full, unobstructed view on our company bulletin board for 10 consecutive business days from Monday June 1, 2026 through Friday June 12, 2026.
This notice is being posted in connection with the filing of a Permanent Labor Application. Any person may provide documentary evidence bearing on the application to the following address:
U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.
Ankita Sharma
Director-Human Empowerment Group
Data Scientist Job Roles in Arizona
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Search Data Scientist Jobs in ArizonaData Scientist Jobs in Arizona: Frequently Asked Questions
Which companies in Arizona sponsor visas for data scientists?
Intel, Honeywell, Banner Health, American Express (which has a significant Scottsdale presence), and PayPal have all filed Labor Condition Applications for data scientist roles in Arizona. Large healthcare systems and financial services firms in the Phoenix metro are among the more consistent sponsors, given their scale and established HR infrastructure for managing international hires.
Which visa types are most common for data scientist roles in Arizona?
The H-1B is the most common visa category for data scientists in Arizona, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Some applicants also enter on OPT or STEM OPT before transitioning to H-1B sponsorship. Candidates with Canadian or Mexican citizenship may qualify for the TN visa under the mathematician or computer systems analyst categories, depending on the specific role.
Which cities in Arizona have the most data scientist visa sponsorship jobs?
Phoenix and Scottsdale account for the majority of data scientist sponsorship activity in Arizona. Tempe is also notable given its proximity to Arizona State University and a concentration of fintech and analytics firms. Chandler has a smaller but active tech presence driven by Intel's campus. Tucson sees some activity through the University of Arizona and affiliated research organizations, though volume is lower than the Phoenix metro.
How to find data scientist visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data scientist roles in Arizona without sorting through positions that don't offer sponsorship. You can filter by state and role to surface active openings from employers who have a documented history of sponsoring international candidates, which saves significant time compared to applying broadly and asking about sponsorship case by case.
Are there any Arizona-specific factors data scientists should know before pursuing sponsorship?
Arizona's Department of Economic Security and the Phoenix metro's status as a growing technology hub have attracted large employer campuses, which tend to have more established immigration support than startups. Arizona State University's graduate programs in data science and analytics create a steady pipeline of OPT candidates, meaning employers in the area are often familiar with the sponsorship process. Prevailing wage requirements apply statewide and are determined by the Department of Labor based on the specific role and location.
What is the prevailing wage for sponsored data scientist jobs in Arizona?
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.