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Data Scientist Nlp Jobs (NOW HIRING)

Apex Informatics

Data Scientist

Addison, TX · On-site

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... Experience in ML/NLP development pipelines of large data sets, both structured unstructured * At ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal candidate will have hands-on experience in building intelligent models using Natural ...

Hirevouch

Senior AI Research Scientist (NLP)

Senior AI Research Scientist COMPANY OVERVIEW Every year, supply chain disruptions cause estimated ... Design, implement and use evaluation pipelines, including data annotation, scripting and automation.

Sarian, Inc.

Data Scientist

Addison, TX · On-site

Atleast 5 years python (or equivalent) programming experience to work with ML/NLP models ... Data scientist, Secondary skills: Artificial intelligence/Machine learning.

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

Data Scientist Duration: 6+ months contract Location: NYC- Hybrid About the Team Joining as a Data ... Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Job Title: Data Scientist Job Location: Detroit, MI (Hybrid) Job Type: Contract * Develop and ... Build NLP solutions and advanced analytics models. * Work with cross-functional teams to solve ...

MM International

Data scientist

Charlotte, NC · On-site

Role: Data scientist Location: Hybrid 3 times a week in charlotte, NC or Atlanta, GA onsite ... Required Qualifications Strong experience in Machine Learning, NLP, Deep Learning, Statistical ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site +1

As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ... Apply statistical methods, NLP, computer vision, embeddings, and other modern AI/ML techniques to ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Conduct sophisticated analysis using deployed tools and natural language processing (NLP)

THOMSON REUTERS

Data Scientist

Mclean, VA

As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ... Apply statistical methods, NLP, computer vision, embeddings, and other modern AI/ML techniques to ...

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Data Scientist Nlp information

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How much do data scientist nlp jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data scientist nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the typical projects or challenges faced by Data Scientist NLP professionals in their daily work?

Data Scientist NLP professionals often tackle projects involving text classification, sentiment analysis, entity recognition, machine translation, and language modeling using large datasets. They regularly address challenges such as cleaning and preprocessing noisy text data, tuning models for accuracy, and keeping up with rapidly evolving NLP techniques. Collaboration with data engineers, product managers, and subject matter experts is a key part of the role to ensure the developed models solve real business problems. This dynamic environment offers numerous opportunities to innovate and advance technically, especially as NLP technologies continue to mature.

What is a Data Scientist NLP job?

A Data Scientist specializing in Natural Language Processing (NLP) focuses on analyzing and interpreting human language using machine learning and computational techniques. They work with large text datasets to build models for tasks like sentiment analysis, text classification, language translation, and chatbot development. Their role involves data preprocessing, model training, evaluation, and deployment in real-world applications. Proficiency in NLP libraries such as spaCy, NLTK, and transformers, along with programming skills in Python, is essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Nlp position, and why are they important?

To thrive as a Data Scientist NLP, you need a strong background in statistics, machine learning, and natural language processing, often supported by an advanced degree in computer science, data science, or a related field. Experience with languages and tools such as Python, TensorFlow, PyTorch, spaCy, and relevant NLP libraries, along with familiarity with cloud platforms, is highly valuable. Excellent problem-solving, communication skills, and the ability to distill complex information for non-technical audiences make a candidate stand out. These competencies are crucial to building effective language models and delivering actionable insights from large volumes of unstructured data in real-world business contexts.

More about Data Scientist Nlp jobs
What cities are hiring for Data Scientist Nlp jobs? Cities with the most Data Scientist Nlp job openings:
What are the most commonly searched types of Data Scientist Nlp jobs? The most popular types of Data Scientist Nlp jobs are:
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Data Scientist Nlp jobs near you
Infographic showing various Data Scientist Nlp job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Scientist - NLP

Institute of Foundation Models

Sunnyvale, CA

$150K - $450K/yr

Full-time

Posted 13 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.
Key Responsibilities
  • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training.
 
  • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks.
 
  • Integrate and improve LLM algorithms to work with other models such as computer vision models
 
  • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology.
 
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
 
  • Write up results in design documents, technical reports, and papers for publication.
 
  • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
 
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Academic Qualifications
  • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience
 
  • Preferred: PhD or equivalent research experience in Natural Language Processing
 
Professional Experience - Minimum
  • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision).
 
  • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms.
 
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
 
  • Effective communication and collaboration skills to work with cross functional teams.
 
  • Ability to effectively navigate ambiguity.
Professional Experience - Preferred
  • Experience leading research efforts and influencing other researchers.
 
  • Experience with efficiency, modularity or related topics for LLMs.
 
  • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
 
  • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).
 
  • Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).
Salary depends on level.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability