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Text Analytics Jobs in Virginia (NOW HIRING)

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 ...

NewGen

SME Full Stack Developer

Herndon, VA · On-site

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

Probity Inc.

KD Applications Developer

Herndon, VA

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

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Significant experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association ...

M1 Technology

Senior Application Developer

Herndon, VA

$98K - $135K/yr

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

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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 8, 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 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.

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 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

Software Engineer Lead

Freedom Technology Solutions Group, LLC

Herndon, VA • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Freedom Technology Solutions Group is currently seeking a Software Engineer Lead to work on a suite of services that will supply users with tools to automate a wide range of enterprise-wide applications and data centric mission management applications, with a focus on artificial intelligence and machine learning (AI/ML). The candidate will be part of a team to enhance existing production applications and build out new web services to meet the evolving needs of users.
Responsibilities:
• Participation with iterative software development teams with adherence to all reporting requirements.
• Integrating AI/ML technology into a production web application.
• Designing, developing and unit testing code for a production system and demonstration capabilities.
• Developing rapid prototypes to drive out requirements and design.
• Providing demonstrations and detailed walk through of features to a variety of technical and non-technical audiences.
• Meeting with stakeholders, analyzing requirements, developing user stories, and translating these into software development tasks.
• Development of technical documentation and briefing materials to support program status reviews, control gates, and other presentations as directed.
• Write and maintain technical documentation for application workflows, integrations, and compliance procedures.
• Optimize and enhance application performance, ensuring scalability and security.
Qualifications:
Required:
• An active security clearance with polygraph.
• Demonstrated 4-6 years in backend development – must be proficient in both Python and Java
• Demonstrated 4-6 years in frontend development like Angular
• Demonstrated 6-8 years of AWS Architecture design proficiency
• Significant proficiency 6-8 years in Linux – shell scripting, mounting drives, text editing with vi or emacs, system diagnostic checks [memory management, process running]
• Demonstrated 2-3 years working with AI/ML development and data science understanding
• Demonstrated experience on Agile software development teams following Agile methodologies, including Scrum and Kanban.
• Demonstrated experience using Jira, Confluence, and GitHub for documenting work and team collaboration.
• Minimum 6-8 years of experience with SQL and NOSQL databases
• Minimum 6-8 years of demonstrated experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment.
• Minimum 6-8 years of demonstrated experience with search & analytic tools. Examples to include ElasticSearch, Solr/Lucene, OpenSearch.
• Minimum 2-4 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets.
• Minimum 6-8 years of demonstrated ability to design, develop, test and implement new applications based on project requirements.
• The ability to work individually as well as the ability to work in project teams. Proven ability in decomposing concepts to discrete development tasks and managing your work to a deadline.
• Minimum 6-8 years of demonstrated ability in microservices up to and including docker, podman, and or containerization services.
• Minimum 6-8 years in Object Oriented programming. Python is preferred software development language
Preferred:
• 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) whether through education or experience.
• Demonstrated experience developing proof of concepts of new technologies and evaluating the state of the art in machine learning algorithms for text analytics whether through education or experience.
• Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow whether through education or experience.
• Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) whether through education or experience.
• Demonstrated experience with Relational or Non-Relational data stores such as MySQL, Postgres, MongoDB, or DynamoDB whether through education or experience.
• Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing whether through education or experience.
• Demonstrated experience using some of the following; Optical Character Recognition (OCR), Search Ranking, Duplicate Detection, Bidirectional Encoder Representations from Transformers (BERT), Image Recognition, Fuzzy Search, Named Entity Recognition (NER), Document Categorization.
Company:
FTSG was founded with the idea of building a company in which IT professionals have the 'Freedom' to be creative and innovative. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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