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Contractual Nvidia Data Scientist Jobs (NOW HIRING)

Smarsh

OR

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 ...

Smarsh

Lead Data Scientist

New York, NY

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 ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

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 ...

Altamira Technologies Corp.

Data Scientist

Mclean, VA · On-site

$140K - $230K/yr

Description Data Scientist Clearance: TS/SCI/FS Poly Location: McLean VA Altamira Technologies has ... contractual requirements, security clearance requirements, and other legitimate business ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

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 ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Smarsh

Lead Data Scientist

Atlanta, GA

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 ...

Smarsh

Lead Data Scientist

OR · Remote

$166K - $214K/yr

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 ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Steampunk

Data Scientist

Mclean, VA

$140K - $160K/yr

... contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $160,000. The estimate displayed represents a ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

We are looking for seasoned Data Scientist to work with our existing team of Data Architects and ... limited to geographic location, contractual requirements, education, knowledge, skills ...

GeoYeti

Data Scientist

Reston, VA · Hybrid

$130K - $165K/yr

Overview Data Scientist Reston, VA (hybrid/remote) - this role requires that you are onsite 2 days ... and contractual requirements. This is not a guarantee. * Benefits include Health/Dental/Vision ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Overview We are looking for seasoned Data Scientist to work with our existing team of Data ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$140K - $160K/yr

... contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $160,000. The estimate displayed represents a ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Overview We are looking for seasoned Data Scientist to work with our existing team of Data ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Steampunk

Data Scientist

Mclean, VA

$140K - $160K/yr

... contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $160,000. The estimate displayed represents a ...

IntelliGenesis

Senior Data Scientist

Boerne, TX · On-site

As a Data Scientist in IG Labs, you will utilize your analytic and methodological skills and use ... Experience NVIDIA Technology & frameworks * Experience with data transport and transformation APIs ...

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

As of Aug 10, 2026, the average yearly pay for contractual 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 are the key skills and qualifications needed to thrive as a contractual Nvidia data scientist?

To thrive as a Contractual Nvidia Data Scientist, you need a strong background in data science, machine learning, and programming languages such as Python or C++, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with Nvidia's GPU computing platforms (like CUDA), deep learning frameworks (such as TensorFlow or PyTorch), and certifications in data science or AI are typically required. Excellent problem-solving abilities, adaptability, and effective communication skills help you collaborate with teams and convey complex findings to stakeholders. These skills are essential for efficiently developing, optimizing, and deploying advanced AI solutions that leverage Nvidia's technologies in dynamic project environments.

What are some common challenges faced by contractual Nvidia data scientists when working on short-term projects?

Contractual Nvidia Data Scientists often need to quickly adapt to new teams and project objectives, which can be challenging given the rapid pace of short-term engagements. They may encounter limited access to company-specific datasets or proprietary tools, requiring strong problem-solving skills and flexibility. Additionally, clear communication and efficient collaboration with both technical and non-technical stakeholders are crucial, as time constraints demand fast, impactful contributions. Despite these challenges, such roles offer opportunities to work on cutting-edge AI projects and build a diverse professional portfolio.

What does a contractual Nvidia data scientist do?

A Contractual Nvidia Data Scientist is a professional hired on a contract basis to work with Nvidia’s data science teams or on Nvidia-related projects. Their primary responsibilities include analyzing large datasets, developing machine learning models, and leveraging Nvidia's GPU technologies to optimize data processing and AI workflows. They may also collaborate with engineers and researchers to create solutions in fields like deep learning, computer vision, or natural language processing. This role typically requires strong programming and analytical skills, as well as experience with Nvidia’s software and hardware platforms.
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Contractual Nvidia Data Scientist jobs near you
Infographic showing various Contractual Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Lead Data Scientist

Smarsh

OR

Full-time

Re-posted 24 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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