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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 ...

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 ...

JTG

Collection Technology Specialist (Webscraper)

Reston, VA · On-site

$19.25 - $26/hr

Prior training or coursework in metadata, webs and text analytics, and data management This position reports to the Task Manager. Founded in 1995, JTG is an Employee-Owned Company that is specialized ...

Altamira Technologies Corp.

Data Scientist

Falls Church, 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 · On-site

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 Sep 10, 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?

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 does a text analytics do?

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 text analytics?

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
Infographic showing various Text Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $124,251 per year, or $59.7 per hour.

Senior Product Manager, Language & Translation Platform

Mclean, VA • On-site

Medallia
IT Services • 1 - 5K employees
Learn more about Medalliaexternal

$127K - $168K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago

Job description

Overview
Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.
We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.
We empower exceptional people to create extraordinary experiences together.
Bring your whole self.
The Role and Team
Medallia is committed to global coverage for the platform, including GenAI and Text Analytics capabilities for every major market we support. Today, language and translation work does not align to a unified strategy across the platform, but in feature by feature and quarter by quarter extensions, with no single-threaded owner.
This Senior Product Manager role owns language and translation as a platform capability. You will define how Medallia extends our platform into new languages, including for AI and Text Analytics features, own the translations strategy, and build the repeatable framework, controls, and standards that let feature teams add languages predictably instead of reinventing the process each time. It is a horizontal, high-leverage role that spans Text Analytics, AI and GenAI, and the configuration layer, and it depends on close partnership with feature product managers, data science, and engineering across the organization. This is a role for someone who can drive an initiative from strategy through operationalization and align many teams behind a shared standard.
Responsibilities
  • Own the GenAI and Text Analytics language strategy: which languages Medallia supports, the weighted rubric for prioritizing new ones, and the roadmap to bring every feature to parity across the supported set.
  • Define the repeatable, productized process for extending a feature into a new language, including requirements, handoff standards between feature teams, platform, and data science, and a clear definition of what language extension means for each feature, so extension stops being bespoke work each time.
  • Own the administration and control-plane capability to enable and disable languages per feature and per tenant, including preview (zero-shot) enablement for the approved language list, with the guardrails and disclaimers required for unvalidated languages.
  • Own the strategy and controls for how each feature processes multi-language data, including native-language versus translated processing and per-feature language routing, along with the decision framework for choosing between them across features including, but not limited to, Text Analytics and GenAI.
  • Own translation as a platform product, consolidating it from its current fragmented state into a coherent, ownable capability, and partner with engineering on the underlying translation services and language-specific parsing for Text Analytics and ML.
  • Own language extension beyond the first release: feature teams own the first extension of their own feature, while this role owns the strategy, framework, and every subsequent extension, enabling a clean handoff from the initial owners.
  • Partner with data science and specialist annotation vendors on the multilingual evaluation and annotation pipeline, using native-speaking subject-matter annotators, so language quality is validated rather than assumed.
  • Collaborate across teams, aligning feature product managers, data science, and engineering to deliver consistent multi-language behavior across the platform.

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.
Qualifications
Minimum Qualifications
  • Bachelor's degree in a science, engineering, or related quantitative field, or equivalent experience.
  • 5+ years of product management experience in enterprise SaaS, focused on data, analytics, NLP, or ML and AI products.
  • Demonstrated experience owning a horizontal or platform capability that multiple feature teams depend on.
  • Demonstrated experience designing and implementing reusable frameworks, developer tools, or shared service standards adopted across multiple engineering teams.
  • Demonstrated understanding of AI/ML or NLP products, including partnering with data science on evaluation, annotation, and model quality.
  • Demonstrated experience driving cross-functional initiatives across product, engineering, and data science or research.
  • Track record of taking ambiguous or loosely defined infrastructure problems, establishing technical requirements, and leading them through architecture design to production rollout and operational monitoring.

Preferred Qualifications
  • Familiarity with localization and translation, including native versus machine-translation trade-offs, quality evaluation, and multi-language data processing.
  • Experience with GenAI and large language model applications, such as summarization, classification, topic modeling, or agentic experiences.
  • Experience partnering with Data Science and Research to operationalize evaluation, annotation, and quality frameworks.
  • Experience with a Customer Experience Management platform.
  • Experience in an agile development environment and familiarity with tools such as Productboard and JIRA.

Medallia is committed to equal pay and transparency. The annual base salary range for this position is $170,500 - $250,000 USD.Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.
Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.
At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at ApplicantAccessibility@medallia.com. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.

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