Principal Data Scientist- GenAILLM Cortex
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Job Description
Your Career
Are you passionate about harnessing cuttingedge data science techniques to protect the world from cyber threats Do you thrive in the dynamic world of cybersecurity If so we invite you to join our innovative and forwardthinking team at Palo Alto Networks where youll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Principal Data Scientist you will apply your expertise in data analysis machine learning and cybersecurity to build new defense techniques against cybervillains. You will be a driving force in designing and developing groundbreaking MLbased security solutions that block attacks even before they begin.
Your Impact
- Contribute to a diverse and highly skilled research group that pioneers stateoftheart technologies to protect our customers
- Utilize analytical rigor statistical methods programming and data modeling to analyze vast amounts of data applying your cybersecurity knowledge to guide our focus and approach
- Design and implement LLMbased solutions to face modern cybersecurity challenges
- Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and nontechnical stakeholders
- Lead and collaborate on endtoend projects within the team and across engineering and product teams from initial ideation to final deployment
Qualifications :
Your Experience
- Natural scientific curiosity and ability to handle complex problems
- At least 4 years of experience in handson classic data science projects
- At least 2 years of experience in handson GenAI projects (preferably LLM) This includes experience in building or finetuning missionspecific generative models with emphasis on algorithmic design and largescale deployment
- High proficiency in python and at least good familiarity with SQL
- Advanced degree (MSc or PhD) in Machine Learning Computer Science Electrical Engineering Physics Statistics Applied Mathematics or a related field or equivalent military experience
- Deep understanding of probability statistics and machine learning models with a proven track record of selecting modifying and applying advanced algorithms to solve practical problems
- Demonstrated ability to run endtoend research POCs from conceptualization to solutions including designing executing analyzing and concluding research methodologies and outcomes
- Good communication skills with the ability to convey complex research findings clearly and effectively to both technical and business audiences
Preferred experience
- Background in the cybersecurity domain
- Handson experience with opensource generative libraries (e.g. Hugging Face)
- Experience working with big data platforms (e.g. GCP)
- Familiarity with cloudnative architectures and services for data processing
Additional Information :
The Team
Our engineering team 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 dont 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.
#LIER1
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating 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 .
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
