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Data Classification Jobs in Virginia (NOW HIRING)

Data Scientist

Ashburn, VA · On-site

$83K - $139K/yr

Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition ...

Cyber Data Protection Manager

Rosslyn, VA · Remote

$126K - $170K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Cyber Data Protection Manager

Richmond, VA · Remote

$109K - $148K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Cyber Data Protection Manager

Mclean, VA · Remote

$112K - $151K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Data Scientist

Ashburn, VA · Hybrid

$83K - $139K/yr

Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition ...

Cyber Data Protection Manager

Arlington, VA · On-site

$127K - $172K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Data Architect

Quantico, VA · On-site

$68.75 - $88.50/hr

... classification, and enterprise data architecture frameworks • Experience with system integration, interface design, and web-based architecture approaches • Knowledge of metadata management, data ...

Data Architect

Quantico, VA · On-site

$67.50 - $86.75/hr

Strong expertise in data modeling, data classification, and enterprise data architecture frameworks * Experience with system integration, interface design, and web-based architecture approaches

IT Security Analyst 2

Richmond, VA · On-site

$33 - $36/hr

Requirement/Must Have: * 5+ years of experience in IT Security field. * 8+ years of experience conducting campus-wide data classification assessments and security audits. * 8+ years of experience ...

Showing results 21-40

Data Classification information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data classification jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data classification in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data classification?

To thrive in Data Classification, you need strong analytical skills, attention to detail, and a background in data management or information science, often supported by a relevant degree. Familiarity with data classification tools, data loss prevention (DLP) systems, and certifications such as Certified Information Systems Security Professional (CISSP) are commonly beneficial. Good communication, teamwork, and problem-solving skills help you excel in collaborating with IT, compliance, and business teams. These competencies are critical for accurately categorizing data, maintaining security standards, and ensuring regulatory compliance across an organization.

What is a data classification?

A Data Classification job involves organizing and labeling data based on its sensitivity, importance, or type to ensure proper handling, security, and compliance. Professionals in this role categorize data according to predefined policies and frameworks, helping organizations safeguard sensitive information and optimize data management. They work closely with security, compliance, and IT teams to implement classification strategies and improve data governance.

What are the typical challenges faced in a data classification role?

A common challenge in Data Classification is accurately identifying and categorizing large volumes of diverse and sometimes ambiguous data, which requires both technical proficiency and critical thinking. Balancing the need for data accessibility with strict security and compliance requirements can also pose difficulties. Collaboration with various departments, such as IT and legal, is often necessary to implement organization-wide classification policies and ensure consistent practices. By staying up-to-date with data protection regulations and evolving technology, professionals in this role can effectively address these challenges and contribute significantly to their organization’s information security strategy.

What are the most commonly searched types of Data Classification jobs in Virginia? The most popular types of Data Classification jobs in Virginia are:
What job categories do people searching Data Classification jobs in Virginia look for? The top searched job categories for Data Classification jobs in Virginia are:
Infographic showing various Data Classification job openings in Virginia as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Scientist with Security Clearance

MANTECH

Ashburn, VA • On-site

Other

Posted 29 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of "big data" solutions to promote efficient trade and travel. These solutions provide CBP personnel with additional tools to evaluate potential threats from legitimate trade and travel. Responsibilities include but are not limited to: * Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).
* Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.
* Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
* Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.
Minimum Qualifications: * HS Diploma/GED and 6-15 years or AS/AA and 4-13 years or BS/BA and 2-7 years or MS/MA/MBA and 0-5 years or PhD/Doctorate and 0-3 years
* Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems
* Experience with programming languages including: R, Python, Scala, Java.
* Experience with SQL programming
* Experience constructing and executing queries to extract data in support of EDA and model development
* Experience with unsupervised and supervised machine learning techniques and methods
* Experience performing data mining, analysis, and training set construction Preferred Qualifications * Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent
* Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.
* Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
* Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation)
* Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, Tableau, SAS Visual Analytics, PowerBI)
* Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)
Clearance Requirements: * Must be a U.S. citizen with the ability to obtain DHS CBP suitability prior to starting this position.
Physical Requirements: * The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.

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