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Manager Nvidia Data Scientist Jobs (NOW HIRING)

Quantiphi, Inc.

Senior Data Scientist

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading ... Develop and manage scalable ML pipelines from data ingestion to model deployment. * Deploy and ...

Quantiphi, Inc.

Senior Data Scientist

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading ... Develop and manage scalable ML pipelines from data ingestion to model deployment. * Deploy and ...

Nvidia

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large ... Scientist to join our team and help advance our capabilities in synthetic data generation for ...

Nvidia

Senior Scientist, Synthetic Data Generation

OR · On-site +1

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large ... Scientist to join our team and help advance our capabilities in synthetic data generation for ...

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Manager Nvidia Data Scientist information

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$46K

$165K

$243.5K

How much do manager nvidia data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for manager 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 the difference between Manager Nvidia Data Scientist vs Data Scientist?

AspectManager Nvidia Data ScientistData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; often requires leadership experienceBachelor's/Master's in CS, Statistics, or related; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, develops models, reports findings
Employer & IndustryTech companies, AI/ML firms, hardware manufacturers like NvidiaVarious industries including tech, finance, healthcare, research

The main difference is that a Manager Nvidia Data Scientist oversees data science teams and projects, requiring leadership skills, while a Data Scientist focuses on technical data analysis and modeling. The manager role involves strategic planning and team management, whereas the data scientist role emphasizes technical expertise and data analysis.

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Manager Nvidia Data Scientist jobs near you
Infographic showing various Manager Nvidia Data Scientist job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Product Marketing Manager - Data Processing

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$142K - $186K/yr

Full-time

Re-posted 8 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We want to welcome a marketing professional with a technical background to our product marketing team. In this role, you will guide data engineers, analytics engineers, and database engineers toward understanding the value of accelerated computing for data processing. You will plan and advance strategic marketing campaigns that boost the adoption of NVIDIA's data processing software and hardware platforms. Are you familiar with the data analytics and database ecosystem, its personas, and their workflows? Do you have insight into key use cases, segments, and frequently applied algorithms in targeted industries, such as financial services, retail, manufacturing, and scientific computing? If so, this role might suit you well!

What you'll be doing:

  • Lead positioning, messaging and launches for key data processing products

  • Capture practitioner feedback and test messaging through community activities such as live-streams, hackathons and meetups

  • Carry out ecosystem analysis to guide our positioning and assist campaigns that convey our key messages

  • Develop technical content including blogs and videos to support data engineers in using NVIDIA's SDKs

  • Develop presentations aimed at educating industry and business analysts and PR on our positioning and value proposition

  • Support market introduction for NVIDIA hardware platforms for data processing as part of cross-functional teams

  • Interact directly with the data engineer and database community and showcase key technologies at events

What we need to see:

  • 5+ years' experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.

  • Bachelor's degree in a scientific or technical field (or equivalent experience).

  • Understanding of data analytics, data engineering and database environment

  • Familiarity with key analytics and database technologies

  • Comfortable explaining Python code used in presentations, demos, and articles.

Ways to stand out from the crowd:

  • Clearly convey your comprehension of NVIDIA's approach and technology for data processing.

  • Measurable impact (metrics, awards, key accomplishments) you can share.

  • Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.

  • Building and nurturing technical communities.

With highly competitive salaries and a full benefits package, NVIDIA is known as one of the technology world's most desirable employers. We employ some of the most hard-working and dedicated people worldwide. Our product marketing teams are growing quickly. If you're a creative and independent technical marketer passionate about technology, we want to hear from you. Join us and make a lasting impact!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 152,000 USD - 230,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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