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Nvidia Data Scientist Jobs in Oregon (NOW HIRING)

Smarsh

OR · On-site

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Nvidia

Data Center System Architect

Hillsboro, OR

$69.50 - $89.25/hr

Become part of our outstanding team at NVIDIA as a System Architect in Hillsboro. You will have an ... Bachelor's Degree in Computer Engineering, Computer Science, Electrical Engineering, or related ...

Nvidia

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance ... Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related ...

Nvidia

OR

$129K - $175K/yr

Data Center SW team architects and develops the end to end software and firmware stack for these ... science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia Corporation

Data Center System Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

Become part of our outstanding team at NVIDIA as a System Architect in Hillsboro. You will have an ... Bachelor's Degree in Computer Engineering, Computer Science, Electrical Engineering, or related ...

Nvidia

OR

$108K - $147K/yr

As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science and be part of a ...

Nvidia

OR · On-site

$122K - $161K/yr

... NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality. What you'll ...

Nvidia

OR

An applied research team within NVIDIA's Networking Systems & Software Architecture group is ... The team builds systems-level software that moves data between GPUs, nodes, and storage at the ...

Nvidia

OR

... systems, and data models across NVIDIA to design, build, and operationalize digital customer ... MS in Computer Science or equivalent experience in a related professional background. NVIDIA is ...

Nvidia

Technical Marketing Engineer - Omniverse

OR · On-site +1

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... From large-scale digital twins and robotic simulation to synthetic data generation, autonomous ...

Nvidia

OR

$104K - $143K/yr

Use profiling, observability, and data analysis to turn performance measurements into actionable ... science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

Benchmark NVIDIA's CPU offerings against competition and suggest software or hardware improvements ... What we need to see: * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ...

Nvidia

OR

In this role, you will augment NVIDIA's performance and benchmark teams with a dedicated CSP-facing ... Strong data analysis and visualization skills (Python, pandas, dashboards). Customer obsession ...

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Nvidia Data Scientist information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do nvidia data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for nvidia data scientist in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

Is a Nvidia Data Scientist job still in demand?

Nvidia Data Scientist roles remain in high demand due to the company's focus on AI, machine learning, and deep learning technologies. These positions often require expertise in programming, data analysis, and familiarity with Nvidia's tools like CUDA and GPU computing, making them valuable in industries such as technology, automotive, and healthcare.

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 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 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 most commonly searched types of Nvidia Data Scientist jobs in Oregon? The most popular types of Nvidia Data Scientist jobs in Oregon are:
What are popular job titles related to Nvidia Data Scientist jobs in Oregon? For Nvidia Data Scientist jobs in Oregon, the most frequently searched job titles are:
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Nvidia Data Scientist jobs near you
Infographic showing various Nvidia Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Lead Data Scientist

Smarsh

OR • On-site

Full-time

Re-posted 23 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
$166,000 - $214,000 a year
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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