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Python Nlp Jobs (NOW HIRING)

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents * Demonstrated professional or academic ...

Data Scientist

Mclean, VA · On-site

$190K - $225K/yr

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

... NLP) and associated data preparation to help identify challenges and opportunities for the Sponsor’s customers. The Sponsor needs experienced SQL and Python skills to transform the ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents * Demonstrated professional or academic ...

Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.), and Python NLP libraries (NLTK, SpaCy, etc.) * Strong knowledge of machine learning techniques, NLP ...

Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.), and Python NLP libraries (NLTK, SpaCy, etc.) * Strong knowledge of machine learning techniques, NLP ...

... NLP) and associated data preparation to help identify challenges and opportunities for the Sponsor'Äôs customers. The Sponsor needs experienced SQL and Python skills to transform the Sponsor'Äôs ...

Data Scientist

Mclean, VA

$190K - $225K/yr

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents * Demonstrated professional or academic ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim , or NLTK to analyze or process collections of documents . * Demonstrated professional or academic ...

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Python Developer Location: Dallas, TX * 5+ years of experience programming with Python. * 1+ years ... Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as ...

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Python NLP information

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How much do python nlp jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for python nlp in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python NLP specialist?

A Python NLP (Natural Language Processing) specialist is a professional who uses the Python programming language to develop, implement, and optimize algorithms that help computers understand, interpret, and generate human language. They work with libraries such as NLTK, spaCy, and transformers to process text, perform sentiment analysis, build chatbots, and more. Python NLP specialists are essential in fields like AI, machine learning, and data science, enabling applications such as language translation, speech recognition, and information extraction.

What are the key skills and qualifications needed to thrive as a Python NLP Specialist, and why are they important?

To thrive as a Python NLP Specialist, you need a solid background in computer science, linguistics, and experience with Python programming and natural language processing concepts. Familiarity with NLP libraries such as NLTK, spaCy, and TensorFlow, as well as knowledge of machine learning frameworks and cloud platforms, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with diverse teams. These skills and qualifications are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.

How do Python NLP specialists typically collaborate with data engineers and domain experts during a project?

Python NLP specialists often work closely with data engineers, who are responsible for preparing and managing large datasets needed for natural language processing tasks. Collaboration with domain experts is also essential to ensure that the developed models and solutions are contextually relevant and accurate. Regular meetings, code reviews, and shared documentation are common practices to maintain alignment and integrate feedback. This teamwork helps address challenges related to data quality, model interpretability, and the real-world applicability of NLP solutions.

What is the difference between Python Nlp vs Data Scientist?

AspectPython NlpData Scientist
Required CredentialsProficiency in Python, NLP libraries, and basic statisticsDegree in Data Science, Statistics, or related field; Python skills beneficial
Work EnvironmentFocus on text data processing, language models, and NLP tasksBroader data analysis, visualization, and predictive modeling
Industry UsageTech, research, and companies focusing on language-based applicationsFinance, healthcare, marketing, and diverse sectors

Python Nlp specialists focus specifically on natural language processing tasks using Python, while Data Scientists have a broader role involving data analysis, modeling, and visualization across various data types. Both roles require Python skills, but Data Scientists typically have a wider scope of responsibilities.

More about Python NLP jobs
What cities are hiring for Python Nlp jobs? Cities with the most Python Nlp job openings:
What are the most commonly searched types of Python Nlp jobs? The most popular types of Python Nlp jobs are:
Infographic showing various Python Nlp job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Data Scientist

Data Scientist

SAIC

Mclean, VA • On-site

$200K - $240K/yr

Other

Re-posted 6 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 rated it services


Job description

Job ID: 2614424
Location: McLean, VA, US
Date Posted: 2026-07-09
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS.SCI_wPoly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.
Key Responsibilities:
  • Work closely with data scientist and technical team to implement requirements.
  • Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured data, including text data.
  • Design and implement advanced ETL code and table configurations for complex data sets.
  • Use Structured Query Language (SQL) in Sponsor's Oracle database to develop and organize relevant information with supporting analytics.
  • Author analytic publications and produce ad-hoc reports to include data visualization.
  • Stay current with enterprise metadata collection tools.
  • Provide technical education to staff on an ad-hoc basis.
  • Provide subject matter expertise in natural language processing (NLP).

Qualifications
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Developed practical approaches for measuring performance.
  • Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assisted in selection or development of appropriate methodology to conduct research.
  • Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
  • TS/SCI with polygraph.

Desired Skills:
  • Experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Experience with cloud computing development and architecture.
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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