At Verizon, the Principal Cybersecurity Data Scientist will be at the forefront of identifying and neutralizing threats using advanced data analytics and anomaly detection to safeguard the company's information and systems.
Requirements
- 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).
- Expert proficiency in Python and its data science ecosystem (Scikit-Learn, Pandas, NumPy).
- 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).
Responsibilities
- 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.
Other
- Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
- 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.
- Verizon is an equal opportunity employer.
- Relevant industry certifications (e.g., CISSP, CDPSE, GMLE).
