Data Science Analyst Visa Sponsorship Jobs in Arizona
Arizona's data science analyst job market is concentrated in Phoenix and Scottsdale, where companies like Intel, Banner Health, American Express, and Honeywell actively hire for data-driven roles. The state's growing tech corridor and major research universities, including Arizona State University, support a steady pipeline of visa sponsorship opportunities for international candidates.
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Get Access To All JobsINTRODUCTION
JOIN OUR TEAM! At Circle K, our mission is simple: to make our customers’ lives a little easier every day. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Circle K is. Since the opening of a first store in Laval, Québec, our parent company, Alimentation Couche-Tard has never ceased to grow. We have grown into a successful global company with over 17,300 stores in 29 countries, serving almost 8.5 million customers every day. In total, more than 146,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there. Are you ready to grow your career? Let's grow together!
THE ROLE
We are seeking an innovative, dynamic Data Science Manager to lead Data Science, Machine Learning, and AI initiatives for Merchandising Category Analytics. As a key leader within the Global Data & Analytics team, you will partner with Merchandising, Category Intelligence & Enablement (CIE), and Technology teams to translate strategic priorities into scalable, data-driven solutions that improve decisions and business performance.
The ideal candidate brings deep technical expertise, commercial acumen, product thinking, and strong people leadership. You will lead a high-performing team of data scientists, analysts, and machine learning engineers, taking solutions from opportunity identification through deployment, adoption, and measurable value realization.
What you’ll do
Strategy and Business Partnership:
- Shape the Data Science and AI portfolio: Develop and execute initiatives aligned with merchandising and enterprise priorities.
- Partner with business leaders: Work with Merchandising and CIE leaders to identify high-value opportunities, define business problems, and translate needs into analytics and AI solutions.
- Influence decisions: Present actionable insights and recommendations to senior leaders to shape business strategy and strengthen value realization.
Solution Delivery and Innovation:
- Lead solution development: Guide the design and deployment of scalable solutions across pricing, assortment, promotions, forecasting, experimentation, optimization, customer insights, and category performance.
- Advance AI and ML innovation: Evaluate and apply emerging capabilities, including generative AI and AI agents, to improve merchandising decisions and productivity.
- Ensure end-to-end delivery: Lead initiatives from data discovery and experimentation through production deployment, adoption, governance, and value realization.
- Scale capabilities: Establish reusable methodologies, frameworks, and MLOps practices that enable solutions to scale across categories and business areas.
Leadership, Governance, and Value:
- Measure business value: Define success metrics and demonstrate the measurable impact of Data Science, ML, and AI investments.
- Lead and develop talent: Coach and develop data scientists and analysts while fostering technical excellence, innovation, collaboration, and continuous learning.
- Collaborate across Data & Analytics and Technology: Partner with CIE, Data Engineering, Data Products, and Technology teams to deliver scalable, governed solutions aligned with enterprise standards.
- Champion responsible AI: Promote strong practices for model governance, explainability, data quality, privacy, and responsible AI adoption.
BASIC QUALIFICATIONS
Education and Experience:
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline; an advanced business degree is an asset.
- At least eight years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field, including three or more years in leadership roles delivering large-scale initiatives.
Technical Expertise:
- Strong knowledge of exploratory and descriptive analytics, hypothesis testing, A/B testing, experiment design, and Agile development practices.
- Proficiency in Python, SQL, and R, with hands-on experience using cloud data platforms such as Azure, Snowflake, or Databricks.
- Working knowledge of data engineering workflows, including ETL, batch and real-time processing, model deployment, MLOps, and version control.
Leadership and Business Capabilities:
- Strong commercial mindset and demonstrated ability to translate data, analytics, and AI/ML insights into clear decisions, strategies, and business outcomes.
- Proven experience in talent acquisition, team development, coaching, and mentoring.
- Excellent communication and stakeholder management skills, with the ability to explain technical concepts to audiences at all levels and influence senior leaders across geographies.
- Demonstrated success collaborating with cross-functional partners, including Data Engineering, Architecture, and Data Cloud Platform teams.
- Ability to prioritize multiple initiatives, communicate timelines clearly, and drive work proactively to completion.
- Adaptability, curiosity, and a commitment to continuous learning across business and technology domains.
Success in This Role
Success will be measured by the ability to connect merchandising strategy with Data Science, ML, and AI capabilities; deliver scalable solutions with measurable business impact; and build a high-performing data science organization.
LOCATION
Location: Charlotte, NC
Circle K is an Equal Opportunity Employer.
The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.
INTRODUCTION
JOIN OUR TEAM! At Circle K, our mission is simple: to make our customers’ lives a little easier every day. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Circle K is. Since the opening of a first store in Laval, Québec, our parent company, Alimentation Couche-Tard has never ceased to grow. We have grown into a successful global company with over 17,300 stores in 29 countries, serving almost 8.5 million customers every day. In total, more than 146,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there. Are you ready to grow your career? Let's grow together!
THE ROLE
We are seeking an innovative, dynamic Data Science Manager to lead Data Science, Machine Learning, and AI initiatives for Merchandising Category Analytics. As a key leader within the Global Data & Analytics team, you will partner with Merchandising, Category Intelligence & Enablement (CIE), and Technology teams to translate strategic priorities into scalable, data-driven solutions that improve decisions and business performance.
The ideal candidate brings deep technical expertise, commercial acumen, product thinking, and strong people leadership. You will lead a high-performing team of data scientists, analysts, and machine learning engineers, taking solutions from opportunity identification through deployment, adoption, and measurable value realization.
What you’ll do
Strategy and Business Partnership:
- Shape the Data Science and AI portfolio: Develop and execute initiatives aligned with merchandising and enterprise priorities.
- Partner with business leaders: Work with Merchandising and CIE leaders to identify high-value opportunities, define business problems, and translate needs into analytics and AI solutions.
- Influence decisions: Present actionable insights and recommendations to senior leaders to shape business strategy and strengthen value realization.
Solution Delivery and Innovation:
- Lead solution development: Guide the design and deployment of scalable solutions across pricing, assortment, promotions, forecasting, experimentation, optimization, customer insights, and category performance.
- Advance AI and ML innovation: Evaluate and apply emerging capabilities, including generative AI and AI agents, to improve merchandising decisions and productivity.
- Ensure end-to-end delivery: Lead initiatives from data discovery and experimentation through production deployment, adoption, governance, and value realization.
- Scale capabilities: Establish reusable methodologies, frameworks, and MLOps practices that enable solutions to scale across categories and business areas.
Leadership, Governance, and Value:
- Measure business value: Define success metrics and demonstrate the measurable impact of Data Science, ML, and AI investments.
- Lead and develop talent: Coach and develop data scientists and analysts while fostering technical excellence, innovation, collaboration, and continuous learning.
- Collaborate across Data & Analytics and Technology: Partner with CIE, Data Engineering, Data Products, and Technology teams to deliver scalable, governed solutions aligned with enterprise standards.
- Champion responsible AI: Promote strong practices for model governance, explainability, data quality, privacy, and responsible AI adoption.
BASIC QUALIFICATIONS
Education and Experience:
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline; an advanced business degree is an asset.
- At least eight years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field, including three or more years in leadership roles delivering large-scale initiatives.
Technical Expertise:
- Strong knowledge of exploratory and descriptive analytics, hypothesis testing, A/B testing, experiment design, and Agile development practices.
- Proficiency in Python, SQL, and R, with hands-on experience using cloud data platforms such as Azure, Snowflake, or Databricks.
- Working knowledge of data engineering workflows, including ETL, batch and real-time processing, model deployment, MLOps, and version control.
Leadership and Business Capabilities:
- Strong commercial mindset and demonstrated ability to translate data, analytics, and AI/ML insights into clear decisions, strategies, and business outcomes.
- Proven experience in talent acquisition, team development, coaching, and mentoring.
- Excellent communication and stakeholder management skills, with the ability to explain technical concepts to audiences at all levels and influence senior leaders across geographies.
- Demonstrated success collaborating with cross-functional partners, including Data Engineering, Architecture, and Data Cloud Platform teams.
- Ability to prioritize multiple initiatives, communicate timelines clearly, and drive work proactively to completion.
- Adaptability, curiosity, and a commitment to continuous learning across business and technology domains.
Success in This Role
Success will be measured by the ability to connect merchandising strategy with Data Science, ML, and AI capabilities; deliver scalable solutions with measurable business impact; and build a high-performing data science organization.
LOCATION
Location: Charlotte, NC
Circle K is an Equal Opportunity Employer.
The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.
Data Science Analyst Job Roles in Arizona
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Search Data Science Analyst Jobs in ArizonaData Science Analyst Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Arizona?
Several large employers in Arizona have established histories of sponsoring work visas for data science analysts. Intel's Chandler campus, American Express in Phoenix, Honeywell's aerospace and technology divisions, and Banner Health's data analytics teams are among the more active sponsors. Large consulting firms with Arizona offices, including Deloitte and Accenture, also file visa petitions for data science roles regularly.
Which visa types are most common for data science analyst roles in Arizona?
The H-1B visa is the most common visa for data science analysts in Arizona, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. Candidates from Australia may pursue the E-3 visa, and those from Canada or Mexico may qualify under the TN visa category. L-1 visa transfers are also used when candidates are moving from a multinational employer's foreign office.
Which cities in Arizona have the most data science analyst sponsorship jobs?
Phoenix and its surrounding metro area, including Scottsdale, Tempe, and Chandler, account for the large majority of data science analyst sponsorship activity in Arizona. Tempe benefits from proximity to Arizona State University, which generates partnerships between employers and graduate talent. Tucson has a smaller but active market connected to the University of Arizona's data science programs and defense-sector employers.
How to find data science analyst visa sponsorship jobs in Arizona?
Migrate Mate is built specifically for international job seekers and filters data science analyst roles in Arizona by visa sponsorship availability, saving you the effort of screening out employers who don't sponsor. You can browse current openings from Arizona-based companies that have a documented history of filing H-1B or other work visa petitions for data science positions, helping you focus your applications where sponsorship is realistic.
Are there any Arizona-specific factors that affect visa sponsorship for data science analysts?
Arizona's concentration of semiconductor, financial services, and healthcare employers means data science analyst roles often sit within industries that are accustomed to sponsoring international talent. The state has no personal income tax advantage for employers, but its relatively lower cost of operations compared to California attracts companies that are willing to invest in visa sponsorship. ASU and University of Arizona also produce strong STEM pipelines that keep employer familiarity with OPT and H-1B processes high.
What is the prevailing wage for sponsored data science analyst 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.