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 JobsINTRODUCTION
arrivia is hiring a Senior Data Scientist to bring rigorous experimentation, predictive modeling, and decision science to our highest-value business problems. This is a new role on our growing data team, reporting to the VP of Data and AI Platform.
Your focus starts with marketing technology and marketing effectiveness, including funnel measurement, attribution, audience intelligence, personalization, and experimentation. From there, your work extends into enterprise priorities across travel products, customer experience, finance, and operations.
This is a senior individual contributor role with real autonomy. You will own a prioritized backlog from problem framing through deployment, decide which methods fit the question, and say plainly when the data will not support the conclusion someone wants. The work directly influences marketing investment and customer targeting across our brands.
What You'll Own
- Marketing Effectiveness: Lead scientific analysis across acquisition, lifecycle, audience strategy, channel performance, conversion, retention, and revenue.
- Experimentation: Design and evaluate randomized tests, holdouts, quasi-experimental studies, and incrementality analysis, with clear hypotheses, guardrails, power analysis, and decision criteria.
- Predictive Modeling: Build models for propensity, segmentation, next best action, churn, lifetime value, and campaign optimization that deliver measurable value.
- Attribution and Media Optimization: Connect channel, session, customer, and booking identifiers, separate factual reporting from modeled attribution, and feed offline conversions back to advertising platforms with privacy and consent built in.
- Funnel Measurement: Establish consistent metrics across brands and channels, from reach and engagement through bookings, revenue, and ROI.
- Data Quality and Instrumentation: Assess data across experimentation, customer, marketing automation, analytics, advertising, call center, and transactional sources, document limitations before results reach executives, and define instrumentation and identity requirements with engineering.
- Reusable Analytical Assets: Create datasets, features, and evaluation methods that enable trusted self-service analysis.
- Executive Communication: Explain findings, uncertainty, and tradeoffs in business language, linking recommendations to revenue and customer outcomes.
- Coaching and Standards: Coach analysts and partners on sound methods, reproducibility, and responsible AI.
What You'll Bring
- 7+ years applying data science, experimentation, statistics, or machine learning to complex business problems.
- Demonstrated expertise in experimental design and causal inference, plus predictive modeling, segmentation, forecasting, or optimization in production or decision-making settings.
- Advanced SQL and Python or R, with reproducible, production-quality analytical workflows.
- Experience with large, complex customer, digital behavior, campaign, or transaction datasets.
- Strong communication skills, including explaining methods and uncertainty to technical and executive audiences.
- Bachelor's degree in a quantitative field such as data science, statistics, mathematics, computer science, economics, or engineering. Master's or doctorate preferred. An equivalent combination of education and experience will be considered.
Nice to Have
- Marketing science, advertising technology, or digital product analytics experience, including hands-on work with Statsig, Tealium, Marketo, GA4, advertising platforms, Power BI, or Microsoft Fabric.
- Identity resolution, multi-touch attribution, marketing mix modeling, incrementality testing, or offline conversion feedback, including privacy-aware measurement under GDPR and CCPA.
- Experience deploying and monitoring models with platform engineering teams, and establishing model governance and analytical standards.
- Background in travel, ecommerce, membership, or loyalty businesses with blended online and offline customer journeys.
Benefits & Perks
- Unlimited PTO
- Exclusive employee travel rates
- Travel discounts through arrivia programs
- Medical, dental, and vision insurance
- 401(k) with company participation
Who We Are
arrivia powers travel loyalty and rewards programs for some of the world's leading brands. We help millions of travelers book memorable experiences while delivering the technology, supply, and service our partners build their programs on.
We are investing in growth and in the platform that drives it. Modern technology, data, and AI are changing how travel is sold and serviced, and we are building the systems and the teams to lead that shift rather than follow it.
Our Core Values
Here at arrivia we…
- Stay Curious - Explore new challenges and make space to learn, grow and improve
- Keep it Real - Earn trust through open, honest and clear communication
- Own it - Seek ways to make an impact and take action
- Win Together - Create a culture of connection and inclusion where everyone can be their best
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
INTRODUCTION
arrivia is hiring a Senior Data Scientist to bring rigorous experimentation, predictive modeling, and decision science to our highest-value business problems. This is a new role on our growing data team, reporting to the VP of Data and AI Platform.
Your focus starts with marketing technology and marketing effectiveness, including funnel measurement, attribution, audience intelligence, personalization, and experimentation. From there, your work extends into enterprise priorities across travel products, customer experience, finance, and operations.
This is a senior individual contributor role with real autonomy. You will own a prioritized backlog from problem framing through deployment, decide which methods fit the question, and say plainly when the data will not support the conclusion someone wants. The work directly influences marketing investment and customer targeting across our brands.
What You'll Own
- Marketing Effectiveness: Lead scientific analysis across acquisition, lifecycle, audience strategy, channel performance, conversion, retention, and revenue.
- Experimentation: Design and evaluate randomized tests, holdouts, quasi-experimental studies, and incrementality analysis, with clear hypotheses, guardrails, power analysis, and decision criteria.
- Predictive Modeling: Build models for propensity, segmentation, next best action, churn, lifetime value, and campaign optimization that deliver measurable value.
- Attribution and Media Optimization: Connect channel, session, customer, and booking identifiers, separate factual reporting from modeled attribution, and feed offline conversions back to advertising platforms with privacy and consent built in.
- Funnel Measurement: Establish consistent metrics across brands and channels, from reach and engagement through bookings, revenue, and ROI.
- Data Quality and Instrumentation: Assess data across experimentation, customer, marketing automation, analytics, advertising, call center, and transactional sources, document limitations before results reach executives, and define instrumentation and identity requirements with engineering.
- Reusable Analytical Assets: Create datasets, features, and evaluation methods that enable trusted self-service analysis.
- Executive Communication: Explain findings, uncertainty, and tradeoffs in business language, linking recommendations to revenue and customer outcomes.
- Coaching and Standards: Coach analysts and partners on sound methods, reproducibility, and responsible AI.
What You'll Bring
- 7+ years applying data science, experimentation, statistics, or machine learning to complex business problems.
- Demonstrated expertise in experimental design and causal inference, plus predictive modeling, segmentation, forecasting, or optimization in production or decision-making settings.
- Advanced SQL and Python or R, with reproducible, production-quality analytical workflows.
- Experience with large, complex customer, digital behavior, campaign, or transaction datasets.
- Strong communication skills, including explaining methods and uncertainty to technical and executive audiences.
- Bachelor's degree in a quantitative field such as data science, statistics, mathematics, computer science, economics, or engineering. Master's or doctorate preferred. An equivalent combination of education and experience will be considered.
Nice to Have
- Marketing science, advertising technology, or digital product analytics experience, including hands-on work with Statsig, Tealium, Marketo, GA4, advertising platforms, Power BI, or Microsoft Fabric.
- Identity resolution, multi-touch attribution, marketing mix modeling, incrementality testing, or offline conversion feedback, including privacy-aware measurement under GDPR and CCPA.
- Experience deploying and monitoring models with platform engineering teams, and establishing model governance and analytical standards.
- Background in travel, ecommerce, membership, or loyalty businesses with blended online and offline customer journeys.
Benefits & Perks
- Unlimited PTO
- Exclusive employee travel rates
- Travel discounts through arrivia programs
- Medical, dental, and vision insurance
- 401(k) with company participation
Who We Are
arrivia powers travel loyalty and rewards programs for some of the world's leading brands. We help millions of travelers book memorable experiences while delivering the technology, supply, and service our partners build their programs on.
We are investing in growth and in the platform that drives it. Modern technology, data, and AI are changing how travel is sold and serviced, and we are building the systems and the teams to lead that shift rather than follow it.
Our Core Values
Here at arrivia we…
- Stay Curious - Explore new challenges and make space to learn, grow and improve
- Keep it Real - Earn trust through open, honest and clear communication
- Own it - Seek ways to make an impact and take action
- Win Together - Create a culture of connection and inclusion where everyone can be their best
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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.