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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 ...

Altamira Technologies Corp.

Data Scientist

Mclean, VA · On-site

$140K - $230K/yr

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 ...

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 ...

inTALENTgent

Data Scientist

Herndon, VA · On-site

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

AltaGas

WGL - Customer Experience Analyst

Springfield, VA · On-site

$79K - $114K/yr

... text analytics, feedback coding techniques, or theme extraction. * Experience working with data visualization tools (e.g., Power BI, Excel, Tableau). * Strong ability to synthesize insights and ...

AltaGas

WGL - Customer Experience Analyst

Springfield, VA · On-site

$79K - $114K/yr

... text analytics, feedback coding techniques, or theme extraction. * Experience working with data visualization tools (e.g., Power BI, Excel, Tableau). * Strong ability to synthesize insights and ...

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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 Jul 11, 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 does text analytics do?

A job in text analytics involves analyzing large amounts of unstructured text data to extract meaningful insights, such as patterns, trends, and sentiments. It often requires skills in natural language processing (NLP), data analysis, and familiarity with tools like Python or R. The role supports decision-making in areas like customer feedback, social media monitoring, and market research.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, and Python. Many professionals transition into data analysis later in their careers by gaining relevant certifications and experience, regardless of age.

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 is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Analytics, or Chief Data Officer typically offer the highest salaries, often exceeding six figures annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, along with extensive experience and certifications.

Will AI replace a data analyst?

AI can automate certain tasks performed by data analysts, such as data cleaning and basic analysis, but it is unlikely to fully replace the role. Data analysts are needed for interpreting complex insights, making strategic decisions, and communicating findings, which require human judgment and domain expertise. Skills in data visualization, statistical methods, and tools like SQL or Python remain essential for the profession.

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
KD Applications Developer

KD Applications Developer

Probity Inc.

Herndon, VA

Full-time

Re-posted 15 days ago

Job description

PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph

Position Code: 10-SO0417-2

Location: Herndon, VA

Position Description:
Currently seeking a Senior Full Stack Web Application Developer in Herndon VA 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. The candidate will be part of a team of Software Developers, ETL Developers, and Data Scientists to enhance existing production applications and build out new web services on a routinized production cadence to meet the evolving needs of users. This is an exciting opportunity for Software Developers wanting to broaden their credentials in the realm of artificial intelligence and machine learning (AI/ML). This is also an exciting opportunity for the Software Developers to develop hands-on experience with new technical tools/applications.
Development will take place in an iterative fashion using Agile development methodology with input from all levels of stakeholders. The candidate must have the ability to communicate with project team members, user community, and leadership to assess changes and demonstrate iterative progress.
This position will include a variety of activities, including:
Fundamental understanding of analytic tools and capabilities.
  • Integrating AI/ML technology into a production web application.
  • Participation with iterative software development teams with adherence to all reporting requirements.
  • 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.
Mandatory Skills:
The ideal Senior-Level candidate will have a blend of at least three of the following skillsets:
  • Experience in Agile team and software development methodologies.
  • Minimum 4-6 years building web applications using Angular, React or JavaScript with specific examples. Java Spring framework is a plus.
  • Solid understanding around UI/UX fundamentals.
  • Minimum 2-4 years of work experience using a Linux Operating system.
  • Minimum 2-4 years of demonstrated experience with development and deployment of applications in cloud services; such as: AWS, C2S, Azure, Oracle Cloud.
  • Minimum 2-3 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.
  • Familiarity of microservices up to include: docker, podman, and or containerization services.
  • Minimum 3-4 years of demonstrated experience using coding language: Java, Python, JavaScript, CSharp. Python preferred. Other areas of object orientated programming will be considered.
  • Candidates must have a Bachelors' Degree and a minimum of eight (8) years of experience, or 11 years of experience without a degree.
Optional Skills:
  • Fundamental understanding around 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.
  • Fundamental understanding around machine learning frameworks such as PyTorch, Keras, Tensorflow whether through education or experience is a plus.
  • Fundamental understanding of data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) whether through education or experience.
  • Experience with Relational or Non-Relational data stores such as MySQL, Postgres, MongoDB, or DynamoDB whether through education or experience.
  • Familiarity with tools such as Jira, Confluence, and GitHub for documenting work a plus.

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