MTS 1, Cybersecurity Analytics Engineer

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:

We are seeking a skilled Cyber Analytics Engineer with a background in Machine Learning to join our Cybersecurity Operations team. This role is pivotal in developing advanced capabilities to support our Threat Detection Engineering, Cyber Defense Center, Cyber Threat Intelligence and Offensive Security teams. The ideal candidate will leverage data analytics and machine learning techniques to create innovative solutions that enable faster detection and automated response to emerging threats. If you are passionate about cybersecurity and have a strong background in data science, this is the opportunity for you to make a significant impact in protecting our organization.

Job Description:

As a member of our Cyber Data Science and Engineering team, this role will work with our Cybersecurity Operations team to identify opportunities to translate our data-at-scale to into actionable outcomes through data science and engineering approaches.

 
Supporting the following services, an ideal candidate will be able to: 

Advanced Threat Detection:

• Design, develop, and implement 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:

• Analyze and apply 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:

• Develop 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.

Skills we think will make you successful in this role include: 

• Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field.

• 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).

• 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 other Machine Learning Engineers

• 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 developing and testing software services for production deployment.

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

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

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.  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

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