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Text Analytics Jobs in Virginia (NOW HIRING)

RIVIDIUM

Data Scientist- Senior

Quantico, VA

Specialized expertise in text analytics, image recognition, graph analytics, or deep learning * Experience solving complex problems in computer vision or natural language processing domains * Prior ...

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

NLP/text analytics * Cloud platforms (AWS GovCloud) * Containerization (Docker, Kubernetes) * CI/CD and DevSecOps experience * Experience with IC data environments or tools * Experience transitioning ...

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

NLP/text analytics * Cloud platforms (AWS GovCloud) * Containerization (Docker, Kubernetes) * CI/CD and DevSecOps experience * Experience with IC data environments or tools * Experience transitioning ...

Elder Research

Data Scientist

Arlington, VA · On-site

Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud ...

KBR

Data Engineer

Chantilly, VA

$150K - $181K/yr

NLP/text analytics * Cloud platforms (AWS GovCloud) * Containerization (Docker, Kubernetes) * CI/CD and DevSecOps experience * Experience with IC data environments or tools * Experience transitioning ...

Elder Research

Data Scientist

Arlington, VA

Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

Specialized expertise in text analytics, image recognition, graph analytics, or deep learning * Experience solving complex problems in computer vision or natural language processing domains * Prior ...

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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 Jul 13, 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
Data Scientist- Senior

Data Scientist- Senior

RIVIDIUM

Quantico, VA

Full-time

Re-posted 13 days ago

Job description

RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends.

This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and model development to deployment and performance monitoring.

Key Responsibilities

  • Lead the design, development, and deployment of advanced statistical and machine learning models
  • Translate complex data into actionable insights to support business strategy and decision-making
  • Manage data science projects from conception through deployment, ensuring timely and high-quality delivery
  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
  • Build and optimize predictive models to solve complex problems and forecast future outcomes
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement
  • Design and implement data platforms for analysis, experimentation, and scalability
  • Assess and improve data quality, data sources, and data collection methodologies
  • Develop algorithms and analytical tools to extract insights from structured and unstructured data
  • Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences
  • Drive innovation and continuous improvement in data science methodologies and technologies
  • Ensure data standardization, governance, and best practices across projects
  • Stay current with emerging trends in data science, machine learning, and artificial intelligence

Minimum Qualifications

  • Bachelor?s or Master?s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics)
  • Minimum 10 years of relevant professional experience
  • 6?8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment
  • Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar
  • Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies
  • Hands-on experience with data visualization tools and techniques
  • Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques
  • Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms
  • Familiarity with natural language processing (NLP) and/or image processing techniques
  • Experience working with Microsoft tools, including SharePoint
  • Strong analytical, problem-solving, and critical thinking skills
  • Excellent communication, presentation, and stakeholder engagement abilities
  • Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS)
  • Experience with data science platforms such as RStudio, Spark, or similar tools
  • Strong documentation and project management skills
  • Active TS/SCI clearance required at contract start

Preferred Qualifications

  • Specialized expertise in text analytics, image recognition, graph analytics, or deep learning
  • Experience solving complex problems in computer vision or natural language processing domains
  • Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN)
  • Familiarity with federal law enforcement (LE) systems or prior experience in LE environments

Work Environment

  • Collaborative, mission-focused environment supporting federal and defense initiatives
  • Opportunity to work on cutting-edge data science and AI/ML technologies

Apply