Senior Cyber Security Data Scientist

Join Verizon as a Senior Cyber Security Data Scientist

About the Role

Verizon Cybersecurity (VCS) is seeking a Senior Cyber Security Data Scientist to join our team. In this role, you will be at the forefront of identifying and neutralizing threats using advanced data analytics. You will collaborate with machine learning engineers and cybersecurity experts to develop models that predict, detect, and mitigate cyber-attacks. Your work will directly contribute to safeguarding the information and systems of our company.

Key Responsibilities

• Develop and Implement Models: Create data-driven algorithms and models for threat detection, vulnerability assessment, prediction, and prevention, focusing on ML-based anomaly detection to identify unusual patterns that may signify a cyber threat.
• Data Analysis: Analyze large datasets to identify patterns and anomalies indicative of cyber threats. Employ user behavior analytics to understand normal and suspicious user activities.
• Research and Innovation: Implement cutting-edge AI/ML techniques to enhance existing security solutions and develop innovative approaches to combat emerging cyber threats.
• Collaboration: Work with the cybersecurity team to integrate advanced data science models, including anomaly detection and user behavior analytics, into the cybersecurity framework.
• Communication: Communicate complex data findings, model predictions, and the implications of user behavior analytics to non-technical stakeholders to support informed decision-making.
• Continuous Improvement: Contribute to the continuous improvement of our cybersecurity strategies through innovative data science approaches.

Required Qualifications

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Four or more years of Data Science experience in Python-based Data Science stack: Scikit-Learn, TensorFlow, PyTorch, Pandas, NumPy, Polars, Matplotlib, Pyspark.
• Experience in developing predictive models related to anomaly detection.

Preferred Qualifications

• Master's or advanced degree in Data Science.
• Deep understanding of cybersecurity principles, practices, tools, and technologies.
• Experience with big data technologies and platforms (Dask, BigQuery, Kafka, Spark Structured Streaming).
• Experience with cloud platforms and services, particularly for data analytics (e.g., AWS, GCP).
• Proficiency in data visualization tools and libraries (e.g., Seaborn, Plotly).
• Experience with security orchestration, automation, and response (SOAR) platforms (e.g., IBM Resilient).

Workplace and Culture

In this hybrid role, you'll have a defined work location that includes work from home and a minimum of eight assigned office days per month that will be set by your manager. Verizon is committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best.

Equal Employment Opportunity

We're proud to be an equal opportunity employer and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging.

How to Apply

If you're fueled by purpose and powered by persistence, explore a career with us. Here, you'll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.