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Cybersecurity Data Scientist Jobs (NOW HIRING)

TAD PGS, Inc.

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... , and finance business data, in addition to traditional data science techniques. This position works to support the developer in the creation, maintenance, and improvement of products, primarily in ...

Booz Allen Hamilton

Mid Data Scientist

Alexandria, VA · On-site

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Knowledge of cybersecurity data and analytics Clearance: Applicants selected will be subject to a ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$165K - $210K/yr

Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts. Data ...

TAD PGS, Inc

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... , and finance business data, in addition to traditional data science techniques. This position works to support the developer in the creation, maintenance, and improvement of products, primarily in ...

General Motors

$120 - $150/hr

Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, Engineering, or a related field, or equivalent relevant experience. * 3+ years of professional ...

BOOZ, ALLEN & HAMILTON, INC.

$77K - $176K/yr

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... Knowledge of cybersecurity data and analytics Clearance: Applicants selected will be subject to a ...

Echo IT Solutions

Data Scientist

Chesterfield, VA · On-site

Echo IT Solutions is seeking a Senior Data Scientist with extensive experience in data analysis and ... Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom ...

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

The Data Scientist will work as part of a research-focused team to advance national security ... Analyze a variety of big data covering national security, cybersecurity, business intelligence ...

EOA Technologies LLC

Job Type Full-time Description EOA Technologies is seeking a Data Scientist to develop machine ... in the cybersecurity domain. You will work directly with our software engineering and threat ...

OpenAI

Data Scientist, Preparedness

Los Angeles, CA · On-site

$120 - $160/hr

Cybersecurity data science experience (strong preference), including exposure to threat modeling ... adversarial dynamics, abuse patterns, or security telemetry. Experience with classifier evaluation ...

New

OpenAI

Data Scientist, Preparedness

San Francisco, CA · On-site

$347K - $400K/yr

Cybersecurity data science experience (strong preference), including exposure to threat modeling ... adversarial dynamics, abuse patterns, or security telemetry. * Experience with classifier ...

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Cybersecurity Data Scientist information

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$46K

$165K

$243.5K

How much do cybersecurity data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for cybersecurity data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a cybersecurity data scientist?

A Cybersecurity Data Scientist is a professional who applies data science techniques to identify, analyze, and mitigate cyber threats. They use large datasets, machine learning, and statistical analysis to detect patterns of malicious activity and develop models to predict and prevent cyber attacks. This role bridges the gap between cybersecurity and data analytics, helping organizations strengthen their security posture by turning data into actionable insights.

What are the key skills and qualifications needed to thrive as a cybersecurity data scientist?

To thrive as a Cybersecurity Data Scientist, you need a strong background in computer science, statistics, and cybersecurity principles, typically supported by a relevant degree and experience in data analysis. Familiarity with tools like Python, R, machine learning frameworks, and security information and event management (SIEM) systems is essential, as well as certifications such as CISSP or CompTIA Security+. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex threats and collaborate with cross-functional teams. These skills are critical for identifying security vulnerabilities and developing data-driven solutions to protect organizations from evolving cyber threats.

How do cybersecurity data scientists typically collaborate with IT and security teams to address emerging threats?

Cybersecurity Data Scientists work closely with IT and security teams to identify vulnerabilities, analyze security logs, and develop machine learning models that detect anomalies. They often participate in cross-functional meetings to translate complex data insights into actionable recommendations for incident response. Regular collaboration is key, as these professionals must ensure their algorithms align with real-world security protocols and integrate seamlessly with existing systems. This teamwork enhances both proactive threat detection and rapid response to security incidents.

What is the difference between Cybersecurity Data Scientist vs Cybersecurity Analyst?

AspectCybersecurity Data ScientistCybersecurity Analyst
Required CredentialsBachelor's/Master's in Data Science, Cybersecurity, or related fields; certifications like CISSP, CEHBachelor's in Cybersecurity, Information Technology, or related; certifications like CompTIA Security+, CISSP
Work EnvironmentData-driven roles, analyzing large datasets, developing modelsMonitoring security systems, incident response, threat analysis
Employer & Industry UsageTech companies, finance, healthcare, governmentAny organization with cybersecurity needs, including government and private sectors

While both roles focus on cybersecurity, a Cybersecurity Data Scientist specializes in analyzing data to identify patterns and develop predictive models, whereas a Cybersecurity Analyst primarily monitors security systems and responds to threats. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in focus and skill set.

More about Cybersecurity Data Scientist jobs

What cities are hiring for Cybersecurity Data Scientist jobs?

Cities with the most Cybersecurity Data Scientist job openings:

What states have the most Cybersecurity Data Scientist jobs?

States with the most job openings for Cybersecurity Data Scientist jobs include:

What job categories do people searching Cybersecurity Data Scientist jobs look for?

The top searched job categories for Cybersecurity Data Scientist jobs are:

Cybersecurity Data Scientist jobs near you
Infographic showing various Cybersecurity Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

TAD PGS, Inc.

Washington, DC • On-site

$52.88 - $57.69/hr

Contractor

Medical, Retirement

Re-posted 4 days ago

Job description

We have an outstanding Contract position for a Data Scientist to join a leading Company located in the Washington, DC surrounding area.

Pay Rate: $52.88 - $57.69

**US Citizenship is required.**
**Candidate must possess an Active Top Secret/SCI Security Clearance.**

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the customer's business intelligence reporting capabilities, with a particular focus on IT, cybersecurity, and finance business data, in addition to traditional data science techniques. This position works to support the developer in the creation, maintenance, and improvement of products, primarily in the Power Platform suite, that facilitate comprehensive end-to-end data collection, transform raw data into actionable business insights through statistical analysis, KPI development, PowerBI dashboarding, and proven machine learning methods, and reduce or eliminate manual effort in data processing by automating common processes. The data scientist will propose, implement, and leverage AI and ML solutions to advance the customer's business intelligence capabilities. Data science tasks will include analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, triggers, and implementing business intelligence and data warehousing solutions. Mine data using state-of-the-art methods. 

Responsibilities:
  • Builds, maintains, and improves dashboards, applications, and automations within the Power Platform (PowerBI, Power Automate, and PowerApps), SharePoint, and InfoPath environments to reduce or eliminate manual effort in data processing by automating common processes. 
  • Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL). 
  • Builds predictive risk models backed by statistical analysis and supports data-driven solutions. 
  • Identifies and applies usages of AI and ML to extract key insights from unstructured system documentation for analysis, to automate processes, and to integrate with other applications. 
  • Develops and carries out full-service data calls, including the creation of collection applications and forms, data normalization, data cleansing, and visualization. 
  • Creates insightful and impactful business intelligence analysis and visualizations to be consumed by senior management, IT system owners, and Division and Field Office leaders. 
  • Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level. 
  • Researches and recommends business data storage and data integration solutions specific to the IT environment. 
  • Develops user guides and documents for business intelligence products. 
  • Finds and designs new approaches to handle, analyze, and use large data sets. 
  • Solves complex data and storage issues. 
  • Analyzes and reports results with actionable recommendations. 
  • Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL). 
  • Incorporates data science tools such as scripting (SQL, R, Python, etc.) into existing and new services to continuously advance available offerings. 
  • Identifies, understands, and connects new sources of business intelligence from enterprise holdings that answer key business intelligence questions from leadership. 
  • Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level. 
  • Works on data collection for regular and ad-hoc data calls for internal and external customers, develops and enhances service requests portals, dashboards and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources, creating and maintaining Power Automations supporting multiple business processes, integration of AI/ML into BI reporting, cleansing, and curation of business intelligence datasets, re-development of a quantitative cybersecurity risk assessment tool, and development of additional quantitative risk assessment tools. 

Basic Hiring Criteria:
  • In the absence of years of experience, certifications, or past work may be used to show the level of experience needed to perform at this level.
  • Strong proficiency with the Power Platform, SharePoint, and Infopath tool suite required. 
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc, required. 
  • Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc, required. 
  • Experience with data science tools and software such as Microsoft Power BI, Anaconda, and Statistical Package for the Social Sciences (SPSS) required. 
  • Experience connecting to and extracting/manipulating data from the following systems strongly preferred: Asset Management System (AMS), BigFix, Enterprise Process Automation System (EPAS), Facilities Integration Tool (FIT), Joint Cybersecurity Authorization and Management (JCAM), HR Source/HR Reports, Sentinel, Tenable, Unified Finance Management System (UFMS), Xacta, Microsoft Defender for Enterprise, JIRA, JIRA Service Manager, and CrowdStrike. 

Benefits offered to vary by the contract. Depending on your temporary assignment, benefits may include direct deposit, free career counseling services, 401(k), select paid holidays, short-term disability insurance, skills training, employee referral bonus, affordable medical coverage plan, and DailyPay (in some locations). For a full description of benefits available to you, be sure to talk with your recruiter.

Military connected talent encouraged to apply.

VEVRAA Federal Contractor / Request Priority Protected Veteran Referrals / Equal Opportunity Employer / Veterans / Disabled 

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit http://www.tadpgs.com/candidate-privacy/ or https://pdsdefense.com/candidate-privacy/

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Education:Bachelors DegreeEmployment Type: CONTRACTOR

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