Cybersecurity Data Scientist

Verizon Communications-posted 3 months ago

$120,500 - $231,000/Yr

Full-time • Senior

Remote • Irving, TX

Telecommunications

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As a Principal Cybersecurity Data Scientist at Verizon, you'll be at the forefront of identifying and neutralizing threats using advanced data analytics and anomaly detection. You will collaborate with a team of ML engineers and cybersecurity experts to design, develop, and deploy models that predict, detect, and mitigate sophisticated cyber-attacks, directly contributing to safeguarding our company's information and systems.

Developing Advanced Threat Detection Models: Design, build, and deploy production-grade machine learning models for threat detection, vulnerability assessment, and behavioral anomaly analysis using large-scale security datasets.
Conducting In-Depth Data Analysis: Perform exploratory data analysis on diverse security data sources (e.g., SIEM logs, network traffic, endpoint data) to uncover hidden patterns, correlations, and insights that inform our cybersecurity strategy.
Collaborating and Integrating Solutions: Work closely with cybersecurity analysts and engineers to integrate ML models into our security framework, including SIEM/SOAR platforms and other detection tools.
Leading and Mentoring: Lead complex data science projects from conception to deployment, advocating for engineering best practices and mentoring other data scientists and engineers on the team.
Communicating Actionable Insights: Translate complex data findings and model predictions into clear reports, visualizations, and presentations for technical and non-technical stakeholders to support informed decision-making.
Driving Innovation: Research and apply cutting-edge machine learning techniques to enhance our security posture and stay ahead of emerging cyber threats.

Bachelor's degree or four or more years of work experience.
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Proven experience designing and implementing scalable AI/ML models for production, specifically for anomaly detection, classification, and prediction.
Expert proficiency in Python and its data science ecosystem (Scikit-Learn, Pandas, NumPy).
Deep technical understanding of machine learning and deep learning architectures (e.g., Transformers, Autoencoders).

Hands-on experience with TensorFlow or PyTorch.
Experience with SQL and distributed data processing frameworks (Spark or Dask).
Familiarity with workflow orchestration tools like Airflow or Dagster.
Proficiency with cloud platforms (GCP or AWS), containerization (Docker), version control (Git), and MLOps tools (MLFlow).
Strong understanding of core cybersecurity principles, threat vectors, and frameworks like MITRE ATT&CK.
Experience working with security data from SIEM (e.g., Splunk, Google Chronicle), SOAR, IDS/IPS, and threat intelligence platforms.
Familiarity with Generative AI concepts and frameworks (e.g., LangChain/Graph) for security applications.
Relevant industry certifications (e.g., CISSP, CDPSE, GMLE).
Experience in a Security Operations Center (SOC) environment.
Strong statistical modeling and hypothesis testing skills.

Medical, dental, vision insurance.
Short and long term disability insurance.
Basic and supplemental life insurance.
AD&D insurance.
Identity theft protection.
Pet insurance.
Group home & auto insurance.
Matched 401(k) savings plan.
Stock incentive programs.
Up to 8 company paid holidays per year.
Up to 6 personal days per year.
Parental leave.
Adoption assistance.
Tuition assistance.
15 days of vacation per year, which grows with additional service.

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