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Palo Alto Networks

Senior Data Scientist (Machine Learning)

Santa Clara, CA

Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.

We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Disruption is at the core of our technology and on our way of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. We’re changing the nature of work from benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.

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Your Career

We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for leaders who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal.

Job Description

Your Career

We are looking for a motivated, intelligent, hardworking and creative person to join the Detection Service team as a Senior Data Scientist. You will be part of a team that develops content to power the next-generation firewall for providing cloud-based malware detection and threat research using machine learning (ML) and deep learning (DL) techniques. You will be applying network security knowledge and machine learning techniques to detect advanced threats and attacks. You will be working as a “full-stack” data scientist who analyzes the malware behavior, develops the ML/DL models and delivers it in the production environment for customers.

Your Impact

  • Learn how next-generation firewalls inspect network packets

  • Gain hands-on experience with building production-grade ML/DL models for threat detection

  • Directly impact the detection efficacy through ML/DL model delivery in Advanced Threat Prevention products

  • Work closely with the infrastructure team for data engineering pipeline and automatic model training pipeline

  • Develop the detection solutions and integrate the solutions into the Palo Alto Networks’ next-generation firewall using Google Cloud infrastructure

  • Collaborate with cross-team members to convert your research into multiple products, patents, research publications, blogs etc.

Qualifications

Your Experience

  • Expert knowledge of Big Data Analysis and ML/DL algorithms techniques

  • Tracking record of successfully building ML/DL models with high accuracy and low false alarms

  • Good understanding of standard ML/DL toolkits (Spark, SQL, Pandas, Sklearn etc)

  • Be able to interpret the ML/DL results and improve the model to the required quality level

  • Good understanding of network security and layer-7 traffic analysis, such as HTTP, SSL etc

  • Good experience with traffic analysis tools (e.g. wireshark, tcpdump), reverse engineering tools, exploitation/environment reproduction

  • Good programming skills, Python/scripting language or Go experience is preferred

  • Experience with Google Cloud toolkit is a plus

  • BS/MS in Data Science, Computer Science, Computer Engineering, Network Security, Information Security, or related fields is required

Additional Information

The Team

Our Security Services Team is responsible for building next-generation threat prevention and antivirus solutions and shipping high-quality content to our products to prevent successful cyberattacks. The areas include malware analysis, IoT security, Web security, network security, privacy protection. 

Engineering is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. 

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. 

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

Palo Alto Networks is evolving and changing the nature of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Covid-19 Vaccination Information for Palo Alto Networks Jobs

  • Vaccine requirements and disclosure obligations vary by country.
  • Unless applicable law requires otherwise, you must be vaccinated for COVID or qualify for a reasonable accommodation if:
    • The job requires accessing a company worksite
    • The job requires in-person customer contact and the customer has implemented such requirements
    • You choose to access a Palo Alto Networks worksite
  • If you have questions about the vaccine requirements of this particular position based on your location or job requirements, please inquire with the recruiter.
Client-provided location(s): Santa Clara, CA, USA
Job ID: 743999870124871
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • FSA
    • HSA
    • HSA With Employer Contribution
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Fitness Subsidies
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Birth Parent or Maternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
    • Work-From-Home Stipend
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
  • Professional Development

    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Leadership Training Program
    • Tuition Reimbursement
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led
    • Veteran founded/led

Company Videos

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