Machine Learning Visa Sponsorship Jobs in Arizona
Arizona's machine learning job market is anchored by Intel's semiconductor research campus in Chandler, Honeywell's aerospace AI division in Phoenix, and a growing cluster of fintech and health-tech firms in Scottsdale. Arizona State University's applied AI programs feed a strong local talent pipeline, and many employers in the state actively sponsor H-1B visas for qualified machine learning engineers and researchers.
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Kforce has a client in Phoenix, AZ that is seeking a Senior Data Scientist - Operations & Analytics. Summary: This is not a -heads-down- data science role - this is a leadership seat at the table. As a Senior Data Scientist, you'll drive high-impact analytics and machine learning initiatives that directly influence operational strategy and execution. You'll work end-to-end: from problem framing and data discovery to production deployment and performance measurement - while mentoring a growing team of data scientists. You'll tackle real-world, complex problems using a powerful blend of GenAI, predictive modeling, and optimization, translating advanced analytics into clear, actionable business outcomes. This role is ideal for someone who enjoys owning outcomes, influencing strategy, and building scalable analytics solutions that actually get used. Responsibilities include:
- Lead and deliver advanced data science initiatives across forecasting, optimization, experimentation, and machine learning
- Build and deploy production-ready models (statistical, ML, and AI) in cloud environments
- Perform time-series analysis, demand forecasting, hypothesis testing, and causal inference
- Design and analyze experiments to drive measurable operational improvements
- Transform large, complex datasets into actionable insights and executive-level recommendations
- Partner with business leaders to define and execute a data science roadmap
- Translate advanced analytics and AI concepts for non-technical audiences
- Mentor and elevate data scientists through best practices in modeling, experimentation, and analytics engineering
- Identify new, innovative ways to leverage enterprise data for competitive advantage
Requirements
- Bachelor's degree in a STEM field (Industrial Engineering, Computer Science, Mathematics, Statistics, Engineering)
- Master's degree preferred
- 5+ years of data science experience, with demonstrated leadership or mentorship responsibilities
- Seasoned data science leader with depth, versatility, and strong business instincts
- Strong hands-on expertise in forecasting and demand modeling
- Advanced proficiency in Python or R, SQL, and cloud-based analytics environments (AWS or similar)
- Experience deploying machine learning or AI models into production
- Strong background in statistical modeling (regression, clustering, decision trees, experimentation, time series)
Proven experience across three data science domains (must be highly proficient in at least two, with working knowledge of all three):
- Generative AI
- Traditional statistics & machine learning
- Operations Research/Optimization
Nice To Have
- Logistics, supply chain, fleet, trucking, or distribution analytics
- Optimization use cases such as routing, pricing, maintenance, or resource planning
- Experience working closely with senior business stakeholders
Work Model Notes
- Hybrid role based in Phoenix, AZ (4 days onsite per week)
- Hiring decision contingent on completion of onsite process
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Responsibilities
Kforce has a client in Phoenix, AZ that is seeking a Senior Data Scientist - Operations & Analytics. Summary: This is not a -heads-down- data science role - this is a leadership seat at the table. As a Senior Data Scientist, you'll drive high-impact analytics and machine learning initiatives that directly influence operational strategy and execution. You'll work end-to-end: from problem framing and data discovery to production deployment and performance measurement - while mentoring a growing team of data scientists. You'll tackle real-world, complex problems using a powerful blend of GenAI, predictive modeling, and optimization, translating advanced analytics into clear, actionable business outcomes. This role is ideal for someone who enjoys owning outcomes, influencing strategy, and building scalable analytics solutions that actually get used. Responsibilities include:
- Lead and deliver advanced data science initiatives across forecasting, optimization, experimentation, and machine learning
- Build and deploy production-ready models (statistical, ML, and AI) in cloud environments
- Perform time-series analysis, demand forecasting, hypothesis testing, and causal inference
- Design and analyze experiments to drive measurable operational improvements
- Transform large, complex datasets into actionable insights and executive-level recommendations
- Partner with business leaders to define and execute a data science roadmap
- Translate advanced analytics and AI concepts for non-technical audiences
- Mentor and elevate data scientists through best practices in modeling, experimentation, and analytics engineering
- Identify new, innovative ways to leverage enterprise data for competitive advantage
Requirements
- Bachelor's degree in a STEM field (Industrial Engineering, Computer Science, Mathematics, Statistics, Engineering)
- Master's degree preferred
- 5+ years of data science experience, with demonstrated leadership or mentorship responsibilities
- Seasoned data science leader with depth, versatility, and strong business instincts
- Strong hands-on expertise in forecasting and demand modeling
- Advanced proficiency in Python or R, SQL, and cloud-based analytics environments (AWS or similar)
- Experience deploying machine learning or AI models into production
- Strong background in statistical modeling (regression, clustering, decision trees, experimentation, time series)
Proven experience across three data science domains (must be highly proficient in at least two, with working knowledge of all three):
- Generative AI
- Traditional statistics & machine learning
- Operations Research/Optimization
Nice To Have
- Logistics, supply chain, fleet, trucking, or distribution analytics
- Optimization use cases such as routing, pricing, maintenance, or resource planning
- Experience working closely with senior business stakeholders
Work Model Notes
- Hybrid role based in Phoenix, AZ (4 days onsite per week)
- Hiring decision contingent on completion of onsite process
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Machine Learning Job Roles in Arizona
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Search Machine Learning Jobs in ArizonaMachine Learning Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Arizona?
Intel, Honeywell, and Microchip Technology are among the most consistent H-1B sponsors for machine learning roles in Arizona, particularly in the Phoenix metro area. Health-tech companies like Banner Health and Dignity Health have also filed sponsorships for AI and ML positions. Scottsdale-based fintech firms and several semiconductor startups in the Chandler and Tempe corridors round out the sponsoring employer base.
Which visa types are most common for machine learning roles in Arizona?
The H-1B is the most common visa category for machine learning engineers and researchers in Arizona, as ML roles consistently meet the specialty occupation standard requiring a bachelor's degree or higher in computer science, data science, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Graduates from Arizona universities often begin on OPT or STEM OPT before transitioning to H-1B sponsorship.
Which cities in Arizona have the most machine learning sponsorship jobs?
Phoenix and its immediate suburbs account for the majority of machine learning visa sponsorship activity in Arizona. Chandler is a significant hub due to Intel's large semiconductor campus. Tempe benefits from its proximity to Arizona State University and attracts mid-stage tech companies. Scottsdale draws fintech and health-tech employers with ML teams. Tucson has a smaller but active market tied to University of Arizona research partnerships.
How to find machine learning visa sponsorship jobs in Arizona?
Migrate Mate lets you filter machine learning jobs specifically by visa sponsorship availability and state, making it straightforward to identify Arizona employers actively hiring international candidates. Because sponsorship willingness varies widely even within the same industry, filtering to confirmed sponsors saves significant time. Migrate Mate's listings cover roles across Phoenix, Chandler, Tempe, and Scottsdale, where Arizona's ML hiring is most concentrated.
Are there any Arizona-specific considerations for machine learning job seekers seeking sponsorship?
Arizona's growing semiconductor and aerospace sectors create ML demand that differs from pure software markets, meaning candidates with hardware-adjacent ML skills, such as edge inference or sensor data modeling, may find stronger fit here than in coastal tech hubs. Arizona State University's partnerships with Intel and local industry also produce a well-connected alumni network. Prevailing wage requirements for H-1B petitions still apply and are set by the Department of Labor based on the specific role and location.
What is the prevailing wage for sponsored machine learning 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.