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Remote Machine Learning Visa Sponsorship Jobs in Arizona

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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Remote Machine Learning Visa Sponsorship information

What is a remote machine learning visa sponsorship?

A Remote Machine Learning Visa Sponsorship job is a position in the field of machine learning that allows you to work from any location while the employer supports your application for a work visa. These jobs typically involve developing algorithms and models for tasks such as data analysis, natural language processing, or computer vision. Employers who offer visa sponsorship help qualified international candidates with the legal process required to work in a different country. This can include filing necessary paperwork, covering visa fees, and sometimes assisting with relocation. Remote roles provide flexibility, making it possible to collaborate with international teams without being physically present in the company’s office.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To excel as a Remote Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning frameworks. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of version control systems, is crucial. Strong problem-solving skills, self-motivation, and effective remote communication make candidates stand out in distributed teams. These skills are essential for building robust machine learning models, collaborating across time zones, and delivering results in a dynamic, global work environment.

What are some common challenges faced by remote machine learning engineers working under visa sponsorship, and how can they be addressed?

Remote machine learning engineers on visa sponsorship often face unique challenges such as managing time zone differences with global teams, ensuring effective communication despite cultural and language barriers, and navigating complex legal and administrative visa requirements. Being proactive about clarifying expectations, leveraging collaboration tools, and maintaining regular communication with both team members and HR/legal departments can help address these obstacles. Additionally, staying organized and informed about visa compliance can reduce stress and ensure a smooth employment experience.

What is the difference between Remote Machine Learning Visa Sponsorship vs Remote Data Scientist Visa Sponsorship?

AspectRemote Machine Learning Visa SponsorshipRemote Data Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with ML frameworksMaster's or PhD in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentDeveloping ML models, deploying algorithms, collaborating with engineering teamsAnalyzing data, building predictive models, communicating insights to stakeholders
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, e-commerce, consulting firms

Both roles often require advanced degrees and involve working with data, but Machine Learning roles focus more on developing algorithms and models, while Data Scientist roles emphasize data analysis and insights. Visa sponsorship options are similar, but the specific job functions differ slightly.

What are the most commonly searched types of Machine Learning Visa Sponsorship jobs in Arizona?

The most popular types of Machine Learning Visa Sponsorship jobs in Arizona are:

What are popular job titles related to Remote Machine Learning Visa Sponsorship jobs in Arizona?

For Remote Machine Learning Visa Sponsorship jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Visa Sponsorship jobs in Arizona look for?

The top searched job categories for Remote Machine Learning Visa Sponsorship jobs in Arizona are:

What cities in Arizona are hiring for Remote Machine Learning Visa Sponsorship jobs?

Cities in Arizona with the most Remote Machine Learning Visa Sponsorship job openings:

Infographic showing various Remote Machine Learning Visa Sponsorship job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution.

Data Scientist (Remote)

Sprouts Farmers Market

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 823 frontline employees who took The Breakroom Quiz

28th of 123 rated grocery stores


Job description

Overview
This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to provide personalized experiences to all of our customers every time they interact with us.  The Data Scientist will join a team of other data scientists and analysts in helping develop the machine learning models, recommender systems and processes to make that vision a reality. 

Overview of Responsibilities

Analytics & Business Partnering (70%)

  • Collaborate with cross functional stakeholders to understand business requirements/KPIs to design, develop & execute analytical solutions that support decisions and improve business outcomes
  • Analyze data, identify anomalies and provide actionable insights to support business partners
  • Conduct analyses with high degree of precision and accuracy with readily available tools
  • Predict, test and measure organization initiatives to identify impacts to business outcomes
  • At regular business intervals, update and distribute reports, dashboards, presentations to executive leadership
  • Drive continuous improvements throughout the organization by improving the speed in which we can transform data into decisions, actions and quantifiable results.
  • Respond to ad hoc data and analysis requests to support business partners
  • Provide leadership and direction to ensure processes and procedures are in place to effectively use data to monitor and manage business performance.

 

Development, Machine Learning & Maintenance (30%)

  • Train and Test Supervised and Unsupervised machine learning models to predict business outcomes, segment customers or products or create recommendations or other personalized content
  • Work with IT to implement machine learning models into production
  • In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of business intelligence & database servers supporting the Enterprise and Customer Analytics team.
  • Continually improve the efficiency/usability of BI capabilities for business users
  • Participate in projects to improve business intelligence capabilities, master data management, data governance, etc.
  • Continually validate the integrity of data sources and partner with internal and external teams to remedy issues as necessary
  • Develop processes and algorithms to cleanse/standardize/join disparate data sources
  • Partner with internal and external teams to integrate new sources of data into existing datasets and/or improve the reliability and availability of existing datasets

#LI-CS1


Qualifications
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
  • Experience training and implementing supervised and unsupervised machine learning models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.

Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:

  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!

Sprouts Farmers Market offers DailyPay - if you’re hired as an eligible employee, you’ll be able to transfer the money you’ve already earned at no extra cost, and get it the next business day, for free.  We offer DailyPay so you don’t have to wait for payday to access the money you’ve already worked for. With DailyPay, you can see how much you’ve made every day and you can transfer your money any time before payday.

 You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.


Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer’s market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts’ management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.

California Residents: We collect information in accordance with California law, please see here for more information.

Qualifications:
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
  • Experience training and implementing supervised and unsupervised machine learning models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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