Cybersecurity Data Scientist

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you’ll be doing...

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.

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

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

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

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including : medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is : $120,500.00 - $231,000.00.

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