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$23.3K

$112.9K

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How much do data science h1b jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data science h1b in Arizona is $112,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,476.00 and $152,427.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data science H1B position, and why are they important?

To thrive as a Data Science H1B, you need a solid foundation in statistics, programming languages such as Python or R, and experience with machine learning algorithms, generally supported by a relevant degree in computer science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (such as AWS or Azure), and certifications in data science or analytics are highly valued. Strong communication, problem-solving abilities, and the ability to work effectively in cross-functional teams are key soft skills. These attributes enable data scientists to extract actionable insights from data, communicate findings clearly, and contribute to impactful business decisions.

What are some typical challenges faced by data science professionals working on an H1B visa?

Data Science professionals on an H1B visa may encounter challenges such as adapting to new workplace cultures, managing high expectations for immediate impact, and staying current with rapidly evolving technologies. Collaboration across global teams and clear communication are essential, as projects often require input from various departments and stakeholders. Additionally, navigating the complexities of visa regulations while balancing career development can be demanding. However, many organizations provide robust support structures, mentorship, and training to help H1B employees thrive in their roles and advance their careers.

What is a data science H1B?

A Data Science H1B job refers to a data science position in the U.S. that is sponsored by an employer under the H1B visa program. This visa allows skilled foreign workers to temporarily work in specialized fields such as data science. Data scientists on H1B visas typically analyze large datasets, build machine learning models, and develop data-driven solutions for businesses. Employers must demonstrate that the role requires specialized knowledge and that the candidate meets the necessary qualifications.

What are the most commonly searched types of Data Science H1B jobs in Arizona?

The most popular types of Data Science H1B jobs in Arizona are:

What are popular job titles related to Data Science H1B jobs in Arizona?

For Data Science H1B jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Science H1B jobs in Arizona look for?

The top searched job categories for Data Science H1B jobs in Arizona are:

What cities in Arizona are hiring for Data Science H1B jobs?

Cities in Arizona with the most Data Science H1B job openings:

Data Science H1B jobs near you
Infographic showing various Data Science H1B job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,918 per year, or $54.3 per hour.

Sr Director System Software Development for Commercial and Industrial EV Battery/Charging Manufactur

OSI Engineering

Gilbert, AZ • On-site

$175K - $200K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Sr Director System Software Development

Manage the development of system software for commercial and industrial Electric Vehicle Systems including Mobility and Charging platforms. The position will have overall responsibility for managing the development and production release of platform firmware, software, and communications both within the vehicle as well as vehicle to cloud and cloud to client.

Responsibilities:

  • Architect and design a robust Vehicle control and Telemetry System, leveraging automotive protocols like Controller Area Network (CAN), FlexRay, and Local Interconnect Network (LIN) for seamless communication with vehicle ECUs, BMS, and 3rd party components.
  • Collaborate with cross-functional teams to define system requirements and specifications, ensuring compatibility with proprietary vehicle communication buses.
  • Develop software components focusing on optimizing data acquisition from various sensors, actuators, and control units within the vehicle.
  • Implement advanced diagnostic features by integrating On-Board Diagnostics protocols, enabling real-time monitoring of system performance and fault detection.
  • Lead the technical design of server systems, utilizing microservices architecture for scalability and high availability, while integrating with in-vehicle gateway modules.
  • Design secure communication channels between battery electric vehicles, charging hardware and server systems, employing Transport Layer Security (TLS) and secure key exchange mechanisms.
  • Implement data compression and encryption algorithms to optimize bandwidth usage during data transmission to the server, ensuring efficient utilization of cellular or satellite communication.
  • Utilize cloud platforms such as AWS or Azure to design server-side components, employing serverless functions for event-driven telemetry data processing and storage.
  • Integrate data visualization tools such as Grafana or Tableau for real-time monitoring and analysis of telemetry data, providing actionable insights to end-users.
  • Conduct thorough code reviews, emphasizing coding standards, performance optimizations, and adherence to Automotive Safety Integrity Level (ASIL) requirements.
  • Troubleshoot and resolve complex software issues related to both vehicle and server systems, with a focus on maintaining real-time data integrity.
  • Expertise in orchestrating resources to concentrate on a defined set of deliverables and tasks.
  • Contributing to the commercialization and realization of products.
  • Manage a team of software engineers and will be growing the team.

Requirements:

  • Proven expertise as an Automotive Software Architect, specializing in the development of telemetry systems with a deep understanding of automotive controls and communication protocols.
  • Proficient in developing embedded systems software for automotive ECUs.
  • Experience in managing collaborative efforts between firmware and cloud teams for efficient project outcomes.
  • In-depth knowledge of vehicle network architectures, including CAN, FlexRay, and LIN.
  • Familiarity with OBD-II standards and implementation for advanced vehicle diagnostics.
  • Strong experience with cloud platforms, microservices, and serverless architectures.
  • Expertise involving the transmission of vehicle data to the cloud.
  • Experience in tracking vehicle status and monitoring internal systems through cloud-based solutions.
  • Proficient in DC/DC and DC/AC systems.
  • Expertise in onboard chargers.
  • Familiarity with high voltage distribution systems.
  • Experience with battery packs incorporating VMS.
  • Understanding of automotive safety standards and ASIL requirements.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication skills for collaboration with interdisciplinary teams.
  • Ability to work on complex projects with general direction and minimal guidance.
  • Proven ability to write clear technical/engineering documentation, and coordinate documentation amongst necessary digital systems for cross-functional alignment.
  • Experience integrating data visualization tools like Grafana or Tableau.
  • 10+ years related experience.
  • Bachelor's or higher degree in Computer Science, Automotive Engineering, or a related field.

Type: Full-time Position (H1B Visa Transfer available) Salary: $175k to over $200k (DOE) Location: Gilbert, AZ (Relocation assistance offered) Work Schedule: 100% Onsite

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