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Cybersecurity Data Scientist Jobs (NOW HIRING)

Cmu

Data Scientist

Arlington, VA · On-site

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 ...

Cmu

Data Scientist

Pittsburgh, PA

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 ...

Veros Technologies, LLC

Data Scientist

Reston, VA · On-site

Why You Matter Veros delivers innovative cyber security, data analytics, operational engineering ... In the Data Scientist role, you will work in a dynamic environment and leverage your experience ...

Veros Technologies, LLC

Data Scientist

Reston, VA · On-site

Why You Matter Veros delivers innovative cyber security, data analytics, operational engineering ... In the Data Scientist role, you will work in a dynamic environment and leverage your experience ...

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 ...

TAD PGS, Inc.

Data Scientist

Washington, DC

$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 ...

TAD PGS, Inc

Data Scientist

Washington, DC

$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 ...

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Knowmadics

Data Scientist

Wichita, KS

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 ...

Knowmadics

Data Scientist

Wichita, KS · On-site

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 ...

AgileEngine

Data Scientist

Chicago, IL · On-site

The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models. Develop predictive models and quantitative analytics ...

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All JobsCybersecurity Data Scientist Jobs

Cybersecurity Data Scientist information

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$46K

$165K

$243.5K

How much do cybersecurity data scientist jobs pay per year?

As of Jul 1, 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.

Can you make $500,000 a year in cyber security?

Cybersecurity Data Scientists with extensive experience, advanced skills in machine learning, and certifications like CISSP or CISM can potentially earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large organizations. However, such high compensation is uncommon and typically requires a combination of expertise, leadership responsibilities, and working in high-demand markets or consulting environments.

Can I make $200,000 a year in cyber security?

Cybersecurity Data Scientists with extensive experience, advanced skills in machine learning, and relevant certifications can potentially earn $200,000 or more annually, especially in high-demand industries or senior roles. Salary levels depend on factors such as location, company size, and individual expertise, with senior positions often offering higher compensation.

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.

Can a Data Scientist work in cybersecurity?

A Data Scientist can work in cybersecurity by analyzing large datasets to identify threats, detect anomalies, and improve security measures. Skills in machine learning, statistical analysis, and programming tools like Python or R are essential, along with knowledge of cybersecurity concepts and tools such as intrusion detection systems and threat intelligence platforms.

What does a cyber security Data Scientist do?

A cybersecurity Data Scientist analyzes large datasets to identify security threats, detect anomalies, and develop models to prevent cyber attacks. They use skills in data analysis, machine learning, and cybersecurity tools to improve an organization’s security posture. This role often requires knowledge of programming languages like Python or R and familiarity with security frameworks and protocols.

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:
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 June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Cmu

Arlington, VA • On-site

Full-time

Posted 22 days ago

Job description


What We Do:

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
Requirements:

  • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
  • Willingness to complete modest travel to various locations to support the SEI's overall mission.
  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:

  • Experience in predictive modeling, data science, and/or AI & machine learning
  • Deep understanding of statistical modeling techniques and advanced data analytics
  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
  • Strong communication skills
  • Expertise in one or more of the following:
  • Recommendation systems
  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
  • Causal inference / uplift modeling / synthetic controls
  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:

  • Experience in cybersecurity and privacy is a plus is a plus
  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
  • Demonstrated ability to learn new concepts and grow into new areas of work

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

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About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

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