Data Science Engineer Visa Sponsorship Jobs in Arizona
Arizona's data science engineer job market is anchored by major employers in the Phoenix metro, including Intel, Honeywell, and Banner Health, alongside a fast-growing fintech and semiconductor sector. Tempe, Scottsdale, and Chandler are the most active hiring corridors. Many of these employers have established H-1B visa sponsorship histories, making Arizona a viable destination for international data science engineering 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 Engineer Job Roles in Arizona
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Search Data Science Engineer Jobs in ArizonaData Science Engineer Jobs in Arizona: Frequently Asked Questions
Which companies in Arizona sponsor visas for data science engineers?
Intel's Chandler campus, Honeywell's Phoenix operations, and Banner Health are among the most active H-1B sponsors for technical roles in Arizona. Fintech companies like Vanguard (Scottsdale) and insurance technology firms in the Phoenix metro also have documented sponsorship histories. Large employers with dedicated immigration support teams tend to be more accessible entry points for international data science engineering candidates.
Which visa types are most common for data science engineer roles in Arizona?
The H-1B is the most common visa for data science engineers in Arizona, given the role's alignment with specialty occupation requirements, typically requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already in the U.S. on OPT or STEM OPT also transition into full sponsorship through Arizona employers. The O-1A is an option for candidates with demonstrated distinction in the field, though it requires substantial documentation.
Which cities in Arizona have the most data science engineer sponsorship jobs?
Phoenix and its surrounding suburbs account for the majority of data science engineer sponsorship activity in Arizona. Tempe and Scottsdale have concentrations of fintech and analytics firms. Chandler is a hub for semiconductor and defense technology employers, particularly around Intel's facilities. Tucson has a smaller but active market connected to the University of Arizona's research programs and affiliated technology employers.
How to find data science engineer visa sponsorship jobs in Arizona?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, including data science engineer positions in Arizona. You can filter by state and role to surface employers with active sponsorship records rather than sorting through listings that don't clarify immigration support. This is particularly useful in Arizona, where sponsorship availability varies significantly across the Phoenix metro's mix of large enterprises and smaller startups.
Are there any Arizona-specific considerations for data science engineers seeking sponsorship?
Arizona's growing semiconductor sector, driven partly by the CHIPS Act investments in the Phoenix metro, has increased demand for technical roles that commonly support H-1B sponsorship. Arizona State University and the University of Arizona produce a pipeline of graduates that local employers actively recruit, which can make the market competitive. Prevailing wage requirements apply statewide under Department of Labor standards, and employers in lower-cost suburban markets like Chandler or Mesa still must meet those wage thresholds.
What is the prevailing wage for sponsored data science engineer 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.