Manager, Cyber Data Science & Eng

Key Skills

Data science techniques, Effective communication skills, Google BigQuery, Machine learning techniques, Natural Language Processing (NLP), PyTorch, Scikit-learn, TensorFlow

Job Description

Your way to impact:

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.

Your day to day:

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.

Continuously refine and enhance detection algorithms based on new threat intelligence and feedback from incident response teams.

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.

Collaborate with threat intelligence teams to integrate contextual data into services to all stakeholders, enhancing the accuracy and effectiveness of cyber operations.

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.

Present findings and actionable recommendations to stakeholders, including technical teams and executive leadership.

Collaboration and Knowledge Sharing:

Collaborate with cross-functional teams, including cybersecurity analysts, incident responders, and IT personnel, to ensure alignment on detection strategies and response protocols.

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.

Establish the direction of CDSE in coordination with Director+ leadership on the applications of data science to PayPal’s Cyber Threat Management strategic goals.

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.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Subsidiary:

PayPal

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com.