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Natural Language Processing Data Scientist Jobs (NOW HIRING)

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most ... Experience in working with artificial intelligence, machine learning, natural language processing ...

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

Data Scientist Location: Baltimore, MD (Onsite) Hiring Type: Contract Job Summary: We are seeking a ... Hands-on experience with NLP (Natural Language Processing) techniques. * Proficiency in libraries ...

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)

... natural language processing, and generative AI / large language models. The Lead Data Scientist ... ensures AI/ML products are safe, trustworthy, explainable, and compliant with the NIST AI Framework ...

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

Data Scientist (Active TS/SCI Clearance) Top Mandatory Skills * 8+ years of experience in Data ... ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision models.

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Natural Language Processing Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do natural language processing data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for natural language processing data scientist 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 is the salary of NLP data scientist?

The salary of an NLP data scientist typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring advanced skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large organizations.

What does a Natural Language Processing (NLP) Data Scientist do?

A Natural Language Processing (NLP) Data Scientist specializes in designing, building, and optimizing systems that enable computers to understand, interpret, and generate human language. They work with large sets of textual data and apply machine learning and deep learning techniques to solve problems such as text classification, sentiment analysis, chatbots, translation, and information extraction. Their responsibilities often include data preprocessing, model development, evaluation, and deployment of NLP applications tailored to business or research needs.

What are the key skills and qualifications needed to thrive as a Natural Language Processing Data Scientist, and why are they important?

To thrive as a Natural Language Processing (NLP) Data Scientist, you need a strong background in machine learning, statistics, programming (Python or R), and linguistics, typically supported by a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), machine learning frameworks (like TensorFlow or PyTorch), and experience with large datasets and cloud platforms are essential. Strong problem-solving skills, collaboration, and clear communication set outstanding candidates apart in this field. These skills and qualities are crucial for developing effective language models, extracting meaningful insights from text data, and driving impactful AI solutions.

Do data scientists use NLP?

Yes, data scientists often use natural language processing (NLP) techniques to analyze and interpret text data, develop language models, and extract insights from unstructured information. Proficiency in programming languages like Python and tools such as NLTK or spaCy is common in this role.

How does a Natural Language Processing Data Scientist typically collaborate with cross-functional teams?

Natural Language Processing (NLP) Data Scientists often work closely with software engineers, product managers, linguists, and UX designers to develop and deploy language-based solutions. Collaboration may involve translating business requirements into technical specifications, sharing data insights, and refining models based on real-world user feedback. Regular communication ensures that NLP models are both accurate and aligned with product goals, making teamwork and clear documentation essential components of the role.

Is ML a high paying job?

A Natural Language Processing Data Scientist typically earns a high salary due to specialized skills in machine learning, deep learning, and data analysis. Salaries vary by experience, location, and industry, but the role is generally well-compensated compared to other data science positions.

Is NLP related to data science?

Natural Language Processing (NLP) is a key area within data science that focuses on analyzing and understanding human language using algorithms and statistical models. NLP data scientists often work with machine learning tools, programming languages like Python, and large text datasets to develop language models and applications.
More about Natural Language Processing Data Scientist jobs
What cities are hiring for Natural Language Processing Data Scientist jobs? Cities with the most Natural Language Processing Data Scientist job openings:
Infographic showing various Natural Language Processing Data Scientist 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.

Data Scientist

Closure Technologies

Chantilly, VA

Full-time

Re-posted 22 days ago


Job description

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most challenging data problems.

Required Skills
  • 3+ years of experience in data science or analytics
  • Experience with the analysis of data and creation of data-driven visualizations
  • Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms
  • Ability to develop persistent monitoring applications for statistical or machine learning processes using Python and SQL
  • Ability to create reports and present findings based on statistical analysis
  • TS/SCI clearance with a polygraph Bachelor's degree in Computer Science
Desired Skills
  • Experience programming in an AWS cloud environment Experience working with LLMs, such as Claude or GPT
  • Experience with Tableau
  • Possession of strong communication skills
  • Business Analytics, Data Mining, or Statistical Analysis