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Nvidia Data Scientist Jobs in Arizona (NOW HIRING)

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Nvidia Data Scientist information

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$42.9K

$153.8K

$226.9K

How much do nvidia data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for nvidia data scientist in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a Nvidia data scientist?

A Nvidia Data Scientist leverages AI, machine learning, and deep learning to develop models and algorithms that optimize GPU-accelerated computing solutions. They work with large datasets, conduct research, and build scalable data-driven solutions for industries like gaming, autonomous vehicles, and healthcare. Their role involves collaborating with engineers and researchers to improve AI frameworks and performance on Nvidia hardware. Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and data analytics is essential.

What types of projects does a Nvidia data scientist typically work on, and how do they contribute to the company's core technologies?

Nvidia Data Scientists are often involved in pioneering projects related to AI model development, computer vision, natural language processing, and deep learning applications optimized for GPU hardware. They collaborate closely with research engineers, software developers, and product teams to create scalable AI solutions that enhance Nvidia’s products, ranging from gaming to autonomous systems. A typical week might involve experimenting with new algorithms, analyzing large datasets, optimizing code for GPU acceleration, and translating research breakthroughs into practical applications. This role offers continuous learning opportunities and plays a direct part in shaping industry-leading technologies.

What are the key skills and qualifications needed to thrive as a Nvidia data scientist, and why are they important?

To thrive as an Nvidia Data Scientist, you need a solid background in statistics, machine learning, computer science, and typically a graduate degree in a related field. Proficiency with Python, deep learning frameworks (such as TensorFlow or PyTorch), GPU computing, and experience with large-scale data systems are highly valued, along with relevant certifications. Analytical thinking, strong problem-solving abilities, and clear communication are soft skills that set candidates apart in this collaborative, fast-evolving field. These capabilities are essential for driving innovation, building robust AI solutions, and contributing effectively to cross-functional teams at Nvidia.

What are the most commonly searched types of Nvidia Data Scientist jobs in Arizona?

The most popular types of Nvidia Data Scientist jobs in Arizona are:

What are popular job titles related to Nvidia Data Scientist jobs in Arizona?

For Nvidia Data Scientist jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Nvidia Data Scientist jobs in Arizona look for?

The top searched job categories for Nvidia Data Scientist jobs in Arizona are:

Infographic showing various Nvidia Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Lead Agent Architect - Senior Manager

Ernst & Young Oman

Phoenix, AZ • On-site

$144 - $329/hr

Other

Medical, Dental, Retirement, PTO

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


Job description

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

We’re seeking a strategic and technically adept Senior Manager Architect to lead the design and implementation of high autonomy Agentic AI systems in the enterprise. The scope of this role if across Foundation Model management, Safety, Agentic design, AI application integration and . This role is ideal for someone who can balance hands‑on delivery with cross‑functional coordination, ensuring knowledge‑based AI adoption through robust compliance, monitoring, and integration practices. The successful candidate will lead and mentor a team building advance multi‑agent capabilities for EY businesses and customers.

Your key responsibilities
  • Oversee the design and implementation of AI agentic systems and frameworks based on foundation models, LLM, and SLM.

  • Integrate external vendor tools for model monitoring, security, and compliance.

  • Collaborate with EY teams to align AI initiatives.

  • Serve as a player‑coach, contributing to technical delivery while coordinating firmwide AI adoption.

  • Be a true expert in knowledge AI systems and their applications to customer opportunities and internal horizontal platform development.

  • Member of the Enterprise Architecture council guiding initiatives to success.

  • Maintain current knowledge of knowledge AI trends and model architectures for the timely adoption of emerging AI technology.

Skills and attributes for success
  • Strong leadership and cross‑functional communication skills.

  • Ability to translate governance requirements into scalable technical solutions.

  • Strategic mindset with attention to detail and a predisposition for innovation.

  • Comfort working across business, technical, and product domains.

  • Embrace emerging technologies and digital tools to enhance collaboration, streamline workflows, and improve service delivery.

  • Promote a culture of continuous learning and adaptability in a hybrid work environment.

  • Lead with Insight and Analytical Rigor

  • Apply complex problem‑solving and critical thinking to evaluate data, identify trends, and make informed decisions.

  • Translate insights into actionable strategies that drive measurable outcomes.

  • Be the go to authority for AI expertise in knowledge based AI systems.

To qualify you must have
  • 10+ years of experience in enterprise architecture, governance, or compliance technology.

  • Bachelor’s Degree in related field.

  • Knowledge of AI Foundation Model frameworks, Llama, Gemini, Claude, OpenAI, Mistral, Deepseek etc...

  • Experience with observability, safety and governance tooling.

  • Familiar with Agentic AI platforms (Nvidia, MSFT, Crew etc…)

  • Familiarity with Agentic Patterns & Frameworks: Orchestration, Loop Engineering, Memory system integration

  • Familiarity with AI native development

  • Proven track record in building and delivering large‑scale enterprise platforms.

Ideally, you'll also have
  • Masters or PhD degree in Computer Science, Electrical Engineering, or Mathematics

  • Familiarity with AI/ML lifecycle management and responsible AI practices.

  • Experience integrating governance tools into hybrid cloud environments.

  • Ability to influence senior stakeholders and drive alignment across teams.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  • Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

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