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Cybersecurity Data Scientist Jobs (NOW HIRING)

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 ...

Data Modeler

Charlotte, NC · Hybrid

$53.50 - $69.25/hr

... in the Cybersecurity Data Lakehouse (CyberDW). We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around ...

Developed solutions are actively being productionized to support ongoing cybersecurity initiatives ... data science experience may also be considered. * 2+ years professional experience with an open ...

Developed solutions are actively being productionized to support ongoing cybersecurity initiatives ... data science experience may also be considered. * 2+ years professional experience with an open ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... You'll get a chance to work with elite cybersecurity professionals and university faculty to build ...

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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 Jun 8, 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.

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 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 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.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Scientist, and why are they important?

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.
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:
Infographic showing various Cybersecurity Data Scientist job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist, Mid

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Data Scientist, Mid
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.
On our team, you'll use your leadership skills and data science expertise to create real-world impact for the Department of Defense (DoD) with Cyber Risk Management. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
This is an onsite position in a SCIF working on a high impact project in a dynamic and collaborative team environment. In addition to strong technical skills, we are looking for a strong self-starter mindset. You need to be comfortable navigating ambiguity, independently driving tasks for war d, and proactively seeking out information. Early responsibilities will be center ed around drafting and managing the documentation needed to enable future analytics, including DSAs, appointment letters, data memorandums, and similar documents. There's also a need to develop clear and thoughtful use cases that reflect the operational needs of your client. You will be a critical element in a high performing team with backgrounds ranging from military operations, cybersecurity, strategic policy , operations research, and acquisition program management.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 6+ years of experience with Python, PySpark, SQL, and Databricks
  • 4+ years of experience with data engineering and analytics, delivering actionable insights and performance met rics
  • Experience building and maintaining automated ETL pipelines leveraging API integrations to efficiently ingest, transform, and deliver data across systems
  • Experience extracting and structuring information from unstructured sources such as reports and documents, into clean, analysis-ready data
  • Experience mentoring junior analysts
  • Ability to communicate complex technical concepts clearly and effectively to both technical teams and executive stakeholders
  • Ability to travel up to 25% of the time
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience using DoD data platforms such as Advana, Qlik, and Maven, for data integration, ingestion, and visualization
  • Experience documenting data analytics processes and maintaining reproducible analytic met hods
  • Experience e nga ging data owners to establish sharing agreements that enable the establishment of data pipelines
  • Experience applying machine learning or natural language processing to operational or intelligence data
  • Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners
  • Experience developing data governance frameworks and standards
  • Knowledge of cybersecurity data and analytics

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914