Cybersecurity Data Scientist Job at Verizon Communications in Irving
Verizon Communications, Irving, TX, United States, 75084
Overview
Apply prior to the end date: October 12, 2025.
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What you’ll be doing
As a Principal Cybersecurity Data Scientist at Verizon, you’ll identify and neutralize threats using advanced data analytics and anomaly detection. You will collaborate with 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.
What we’re looking for
You’ll need to have:
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.
Programming & Data Science experience: 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).
Even better if you have one or more of the following:
Programming & Data Science: Expert proficiency in Python and its data science ecosystem (Scikit-Learn, Pandas, NumPy).
Machine Learning Frameworks: Hands-on experience with TensorFlow or PyTorch.
Big Data & Engineering: Experience with SQL and distributed data processing frameworks (Spark or Dask). Familiarity with workflow orchestration tools like Airflow or Dagster.
Cloud & MLOps: Proficiency with cloud platforms (GCP or AWS), containerization (Docker), version control (Git), and MLOps tools (MLFlow).
Cybersecurity Expertise: 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.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Where you’ll be working
Hybrid role with a defined work location: work from home with a minimum of three days per week in the office, as determined by your manager. Employees must comply with hybrid work policies.
Schedule
Scheduled Weekly Hours: 40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and Compensation
Benefits include medical, dental, vision, disability, life insurance, identity theft protection, and more. We offer a matched 401(k), stock incentive programs, holidays and personal days, parental leave, adoption assistance, tuition assistance, and other incentives. Salary varies by location and experience. This is an incentive-based role with the potential to earn more. The annual salary range for the listed locations on a full-time schedule is: $120,500.00 - $231,000.00.
- Basking Ridge, New Jersey, and +4 other locations
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