Palo Alto Networks · 3 weeks ago
Sr Staff Data Scientist
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$141K/yr - $228K/yr
3+ years expPalo Alto Networks is a cybersecurity company dedicated to protecting the digital way of life. They are seeking a Senior Staff Data Scientist who will develop and deploy machine learning models, optimize AI systems, and partner with various business stakeholders to translate challenges into actionable data science solutions.
Agentic AICloud SecurityCyber SecurityNetwork SecuritySecurity
Responsibilities
Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, and finance forecasting
Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability
Partner with Business Stakeholders: Act as an internal consultant to our marketing, product, finance and go-to-market teams. You'll translate business challenges into data science problems, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner
Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, chart a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and in partnership with the data platform team , ongoing monitoring for performance degradation
Data Storytelling: Don’t just build the model; sell the solution. You will visualize your findings (using Tableau, Looker, or custom coding) to make complex data intuitive for business stakeholders
Collaboration: Partner closely with Marketing and Product teams to translate their business goals into technical data requirements
Qualification
Required
Bachelor's degree with 5+ years of related experience; OR
Master's degree with 3+ years of related experience; OR
PhD in a quantitative field (Computer Science, AI, Statistics, Physics, etc.) with 1+ years of experience (academic research applies)
Strong foundation in statistics and probability theory and commonly used data science algorithms
Proven hands-on experience building and deploying machine learning models in a production environment
A solid command of SQL for complex querying and data manipulation
Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion
Prior experience developing dashboards in Tableau/Looker or similar data viz platform
Preferred
Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem
Experience in evaluating and optimizing the performance of AI systems or agents
Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis, or marketing mix modeling
Benefits
FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees
Mental and financial health resources
Personalized learning opportunities
Restricted stock units
Bonus
Company
Palo Alto Networks
Palo Alto Networks is a cybersecurity company that offers cybersecurity solutions for organizations.
10001+ employees
H1B Sponsorship
Palo Alto Networks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (579)
2024 (482)
2023 (341)
2022 (452)
2021 (493)
2020 (235)
Funding
Current Stage
Public CompanyTotal Funding
$65MKey Investors
Icon VenturesLehman HoldingsGlobespan Capital Partners
2012-07-20IPO
2008-11-03Series C· $10M
2008-08-18Series C· $27M
Leadership Team
Helmut Reisinger
CEO EMEA
Nikesh Arora
Chairman CEO
Recent News
Company data provided by crunchbase