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Remote H1B Computer Science Jobs in Arizona (NOW HIRING)

RTX Corporate

ServiceNow Sr Tech Lead

Phoenix, AZ · Remote

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ... Remote Remote: Employees who are working in Remote roles will work primarily offsite (from home)

SmartRent

Software Development Engineer in Test

Phoenix, AZ · Remote

$49.75 - $64/hr

Bachelor's degree in Computer Science, Computer Engineering or equivalent #LI-Remote We Put Our Employees First We offer a comprehensive and competitive benefits package designed to support your well ...

U-Haul

Software Developer

Phoenix, AZ · On-site +1

... remote work. You have: * A background with these technologies: * C# * .NET Core * ASP .NET MVC ... Education: * Bachelor's Degree in Computer Science or related field or Associate's Degree in ...

U-Haul

Software Developer

Phoenix, AZ · On-site +1

... remote work. You have: * A background with these technologies: * C# * .NET Core * ASP .NET MVC ... Education: * Bachelor's Degree in Computer Science or related field or Associate's Degree in ...

Provn

Senior Program Manager

Scottsdale, AZ · Remote

$102K - $150K/yr

Bachelor's degree in Business, IT, Computer Science, or related field. Master's preferred. * PMP, PRINCE2, PgMP, or SAFe certifications preferred Comp: $102,000 - $150,000 base. Remote. Full benefits ...

Viasat, Inc.

Software Architect

Tempe, AZ · On-site +1

$205K - $307K/yr

... Science or Computer Engineering; or 10+ years related experience with a Bachelor's degree in ... require remote management and operations * Ability to develop and deliver software using CI / CD ...

Monetary Metals & Co

Software Engineer

Scottsdale, AZ · Remote

This full-time, fully remote position offers the opportunity to collaborate with a talented team of ... Bachelor's degree in Computer Science, Information Technology, or a related field. * 3-5 years of ...

Ryde Technologies, LLC

Q/A Analyst

Phoenix, AZ · Remote

Bachelor's degree in Computer Science or related field, or equivalent experience * 3+ years of ... Remote work environment * Standard business hours, with occasional extended hours or weekends based ...

USAA

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113K - $136K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Will accept a Bachelor's degree in Computer Science, Computer Software, Computer Engineering ...

USAA

Software Engineer I

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Will accept a Bachelor's degree in Computer Science, Computer Software, Computer Engineering ...

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Remote H1B Computer Science information

What is a Remote H1B Computer Science job?

A Remote H1B Computer Science job refers to a position in the field of computer science where the employee works remotely (often from home or another location outside the employer’s office) while being sponsored by a U.S. employer under the H1B visa program. The H1B visa allows U.S. companies to employ foreign workers in specialty occupations that require theoretical or technical expertise. In recent years, remote work has become more common for H1B holders, as long as the employer complies with Department of Labor and USCIS regulations, including updating the Labor Condition Application (LCA) if the work location changes. Remote H1B roles can include positions like software engineer, data analyst, or IT consultant.

What are the key skills and qualifications needed to thrive as a Remote H1B Computer Science professional, and why are they important?

To thrive as a Remote H1B Computer Science professional, you need a strong background in computer science fundamentals, programming languages (such as Python, Java, or C++), and often a relevant degree or equivalent experience. Familiarity with tools like Git, cloud platforms (AWS, Azure, or GCP), and development frameworks, along with knowledge of remote collaboration tools (e.g., Slack, Jira), is typically required. Excellent communication, time management, and problem-solving skills are vital for effectively collaborating across time zones and cultural backgrounds. These skills and qualities are crucial for delivering high-quality solutions, maintaining productivity, and integrating seamlessly with distributed teams.

What are some common challenges faced by Computer Science professionals working remotely on an H1B visa, and how can they be overcome?

Remote H1B Computer Science professionals often encounter challenges such as navigating time zone differences, maintaining effective communication with distributed teams, and ensuring compliance with visa-related work location requirements. To overcome these, it's crucial to establish clear communication channels, set regular check-ins with your team, and stay informed about any updates to H1B regulations regarding remote work. Utilizing collaboration tools and proactively engaging with managers can also help foster a sense of belonging and ensure that work is aligned with organizational goals.
What are the most commonly searched types of H1B Computer Science jobs in Arizona? The most popular types of H1B Computer Science jobs in Arizona are:
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What cities in Arizona are hiring for Remote H1B Computer Science jobs? Cities in Arizona with the most Remote H1B Computer Science job openings:
Remote H1B Computer Science jobs near you

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Re-posted 1 hour ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.