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Nvidia Data Scientist Jobs (NOW HIRING)

Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale ... The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ...

Senior Data Scientist, Infrastructure

San Francisco, CA

$190K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale ... The Role Verse is seeking an experienced Senior Data Scientist, Infrastructure to join our Data ...

Senior Data Scientist, Infrastructure

San Francisco, CA · On-site

$190K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale ... The Role Verse is seeking an experiencedSenior Data Scientist, Infrastructure to join our Data ...

Lead endtoend execution for Hyperscaler customers to rapidly bring NVIDIA Data Center GPU and ... What We Need to See: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...

Showing results 41-60

Nvidia Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do nvidia data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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 cities are hiring for Nvidia Data Scientist jobs?

Cities with the most Nvidia Data Scientist job openings:

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

The most popular types of Nvidia Data Scientist jobs are:

What states have the most Nvidia Data Scientist jobs?

States with the most job openings for Nvidia Data Scientist jobs include:

Infographic showing various Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Verse

San Francisco, CA

$120K - $155K/yr

Full-time

Re-posted 13 days ago


Job description

Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse?

The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI.
At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.

The Role

Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.

Key Responsibilities

  • Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques.
  • Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences.
  • Software Development & Productionization: Integrate research outputs into Verse's cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development.
  • Develop Domain Expertise: Build foundational knowledge of electricity markets and renewable energy trends; develop an understanding of key drivers (e.g., load growth, market rule changes, and renewable deployment) and learn to incorporate relevant insights into renewable energy PPA modeling and analysis.

What We're Looking For (Minimum Qualifications)

  • Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or
  • Bachelor's degree and 2+ years of energy sector experience
  • Solid foundations in machine learning and statistical modeling
  • Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn)
  • Familiarity with wholesale electricity market fundamentals and renewable energy technologies
  • Ability to communicate technical findings clearly to both technical and non-technical audiences

What Will Make You Standout (Preferred Qualifications)

  • Direct experience with US or European wholesale electricity markets or utility tariff structures
  • Experience with energy procurement, power purchase agreements, or risk management
  • Experience modeling the operational and/or economic behavior of solar, wind, or energy storage
  • Foundational knowledge of mathematical optimization
  • Experience shipping models to production in a commercial or research environment
  • Experience developing probabilistic forecasting models and quantifying uncertainty
  • A PhD in a relevant quantitative field.

What Makes Verse a Great Place to Work?

  • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
  • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
  • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
  • Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks

  • Competitive compensation and equity grant at a high-growth start up
  • Comprehensive benefits package including medical, dental and vision insurance, and 401k
  • Flexible hours and unlimited PTO
  • Diverse and inclusive working environment

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.