PayPal Manager Cyber Data Science & Eng 

United States, Arizona, Scottsdale 

600442323

What you need to know about the role:

Job Description:

As a leader of our Cyber Data Science and Engineering team, This role will require a balance of strategic thinking, technical skill, mentorship ability, and business acumen specifically tailored to addressing and mitigating cyber threats at scale.

Advanced Threat Detection:

Oversee the design, development, and implementation of machine learning models for detecting and responding to cyber threats across various data sources, including network traffic, user behavior, endpoint activity, and product web sessions.

Threat Intelligence Integration:

Oversee the analysis and application of threat intelligence data to improve detection capabilities, ensuring that models are trained on the latest threat actor behaviors and techniques.

Automated Response Solutions:

Oversee the development automated response systems that leverage machine learning outputs to initiate immediate actions against detected threats, reducing response times and mitigating risks.

Data Collection, Analysis and Visualization:

Perform in-depth data analysis to uncover insights and trends related to cybersecurity incidents, leveraging statistical methods and visualization tools.

Contribute to the development of best practices and documentation related to machine learning and data science applications in cybersecurity.

Architecture and Strategic Planning:

Drive architectural planning and deployment of data lake technology to facilitate the development of Cyber Data Science and Engineering products.

What do you need to bring:

• Bachelor’s or master’s degree in computer science, Data Science, Cybersecurity, or a related field with 8+ years of experience with at least 3 years of experience leading engineering teams.

• 3+ years of experience in data science and machine learning, preferably within a cybersecurity context.

• Proficiency in programming languages such as Python or R, and experience with machine learning frameworks (e.g., MLlib, TensorFlow, PyTorch, Scikit-learn).

• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).

• Experience designing new and working with existing deep learning models.

• Experience with NLP models like embedding models and transformer models.

• Experience working with time series data.

• Experience working with supervised, unsupervised, and semi-supervised machine learning settings.

• Experience working with data lake technology like Big Query and Delta Lake.

• Experience with data architecture, cataloging, and governance.

Leadership Skills:

• Experience correlating business strategic direction to a technical strategy to inform a team’s technical priorities.

• Experience setting strategic direction for analytical project in the cyber domain.

• Experience leading a multinational and multi-time zone engineering team.

• Experience designing, implementing, integrating, and testing cross team software initiatives.

• Experience architecting systems and software solutions in support of business priorities.

• Familiarity with cybersecurity concepts, threat detection methodologies, and threat intelligence frameworks.

• Strong analytical skills with the ability to translate complex data into actionable insights.

• Excellent communication skills, capable of conveying technical concepts to non-technical audiences.

• Excellent written and verbal technical communication skills, capability of communicating detailed machine learning concepts to data scientists and development engineers.

Our Benefits:

Any general requests for consideration of your skills, please