ZipRecruiter

Log In

1

Text Analytics Jobs in Virginia (NOW HIRING)

Probity Inc.

KD Applications Developer

Herndon, VA · On-site

Preferred : • Fundamental understanding around text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document ...

Probity Inc.

KD Applications Developer

Herndon, VA · On-site

... with text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization ...

Probity Inc.

KD Applications Developer

Herndon, VA

Fundamental understanding around text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization ...

Altamira Technologies Corp.

Data Scientist

Mclean, VA · On-site

R Software w/extensive variety of modules (plugins - statistics, modeling, visualization), Text Analytics - IN-SPIRE, Jigsaw, Text/Data - Net Owl, Gate, and Mathematics Modeling - MATLAB. * A working ...

next page

Showing results 1-20

People also search for

All JobsText Analytics JobsText Analytics Jobs in Virginia

Text Analytics information

See Virginia salary details

$63.9K

$124.3K

$177.5K

How much do text analytics jobs pay per year?

As of Jun 1, 2026, the average yearly pay for text analytics in Virginia is $124,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $147,700.00 per year, depending on experience, location, and employer.

What is a Text Analytics job?

A Text Analytics job involves extracting meaningful insights from unstructured text data using techniques like Natural Language Processing (NLP), machine learning, and statistical methods. Professionals in this field analyze text from sources such as customer reviews, social media, and documents to identify patterns, sentiment, and trends. Their work helps businesses make data-driven decisions, automate processes, and improve customer experiences. Common responsibilities include text preprocessing, developing models, and visualizing results for stakeholders.

What are the key skills and qualifications needed to thrive in the Text Analytics position, and why are they important?

To thrive in Text Analytics, you need expertise in natural language processing (NLP), data analysis, and strong programming skills in languages such as Python or R, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like NLTK, SpaCy, TensorFlow, and data visualization platforms, as well as relevant certifications in data science or machine learning, is highly valued. Critical thinking, communication, and problem-solving abilities help professionals interpret complex textual data and convey insights to diverse audiences. These skills are important because they enable you to extract actionable information from large datasets, drive data-driven decision-making, and support organizational goals efficiently.

What are some common projects or responsibilities for professionals working in Text Analytics?

Professionals in Text Analytics often work on projects such as sentiment analysis, topic modeling, entity recognition, and document classification, drawing insights from unstructured text data. A typical day may involve leveraging machine learning algorithms, cleaning and preprocessing text datasets, and presenting findings to stakeholders via reports or dashboards. Many text analytics specialists collaborate closely with data science teams, software developers, and business analysts to integrate their work into larger products and solutions. These responsibilities not only help organizations better understand customer feedback and market trends but also enable the automation of information extraction and decision-making processes. Over time, excelling in these areas can open doors to senior data science roles, lead analyst positions, or specialized NLP research opportunities.
More about Text Analytics jobs
What are the most commonly searched types of Text Analytics jobs in Virginia? The most popular types of Text Analytics jobs in Virginia are:
What are popular job titles related to Text Analytics jobs in Virginia? For Text Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Text Analytics jobs in Virginia look for? The top searched job categories for Text Analytics jobs in Virginia are:
Text Analytics jobs near you
Infographic showing various Text Analytics job openings in Virginia as of May 2026, with employment types broken down into 100% Full Time. Highlights an 37% In-person, 37% Hybrid, and 26% Remote job distribution, with an average salary of $124,251 per year, or $59.7 per hour.
Applications Developer - SME with Security Clearance

Applications Developer - SME with Security Clearance

Convirgence

Herndon, VA

Other

Posted 16 days ago

Job description

Applications Developer - SME Herndon Mandatory Skills: Demonstrated experience with building web applications in the Java Spring framework. Demonstrated experience with building web applications using the Angular 2+ framework Demonstrated experience working in Linux (Bash) shell scripting Demonstrated experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment Demonstrated experience with Solr or ElasticSearch Demonstrated experience to cleanse and process (Extract, Transform, Load - ETL) large raw data sets. Demonstrated experience developing web-based platforms and services to perform data analytics on large data sets Demonstrated ability to design, develop, test and implement new applications based on project requirements Demonstrated experience working in a project team (3-5 developers) with experience in decomposing concepts to discrete development tasks and managing your work to a deadline Bachelor's degree in Computer Science, Math, or other relevant field and minimum of six years of experience (Master's degree equates to an additional 2 years of relevant work experience) Optional Skills: Proficiency in Python software development, especially web service development in Flask or Django Demonstrated experience with text analytics and its applications/role/use in business intelligence/business analytics (i.e.

search, entity extraction, sentiment analysis, document summarization, document categorization) Demonstrated experience researching and implementing machine learning algorithms for use in production systems Demonstrated experience developing proof of concepts of new technologies and evaluating the state of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing Demonstrated experience in Agile software development teams using scrum techniques Demonstrated experience using Jira, Confluence, and GitHub for documenting work

Apply