Palo Alto Sr Director Data Science 

United States, California 

508632123

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

Your Impact

• Lead & Mentor: Recruit, hire, and cultivate a world-class team of data scientists. Foster a culture of intellectual curiosity, rigorous execution, and deep business partnership.

• Define the Roadmap: Partner with executive leadership to identify and prioritize the most impactful business problems that can be solved with data science, from marketing attribution and product adoption to customer health scoring.

• Steer Flagship Initiatives: Serve as the direct technical lead and architect for our most critical, cross-functional data science initiatives, personally guiding the methodology, execution, and delivery to ensure success on high-stakes projects.

• Execute with Impact: Lead your team in the end-to-end execution of complex projects. You will be hands-on, guiding the technical approach and contributing directly to the modeling, analysis, and deployment of key initiatives.

• Tell the Story, Own the Details: Translate sophisticated model outputs and analytical insights into clear, compelling narratives for executive audiences. When needed, you can effortlessly go deep, explaining the nuances of algorithms and model architecture to technical stakeholders.

• Drive to Production: Champion the full data science lifecycle. You understand that a model isn't done until it's deployed. You will ensure your team's work is productionalized, monitored, and maintained, leveraging your practical knowledge of data engineering and MLOps.

Your Experience

• A track record of building and leading high-performing data science teams in a fast-paced environment.

• Master's degree or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.

• Extensive experience (10+ years) in data science with a clear progression into leadership roles (5+ years), demonstrating success across multiple domains (e.g., product analytics, marketing science).

• Proven ability to take ownership of ambiguous, complex problems and deliver concrete outcomes through a combination of technical rigor and strategic thinking.

• Deep fluency in the modern data science stack, including Python and SQL, and a strong, intuitive grasp of machine learning, statistical modeling, and causal inference.

• An innate ability to build strong, collaborative relationships with cross-functional partners, establishing yourself and your team as trusted advisors.

Our shared mission to safeguard our digital way of life unites and drives us. You will join a multinational team building data and data science solutions to unlock significant business potential and boost productivity by resolving complex data problems. This involves developing innovative algorithms, predictive models, conducting advanced statistical analysis, and engineering scalable data pipelines. Your work will ultimately lead to data products and actionable insights that empower decision-making across the organization. You will be at the forefront of leveraging cutting-edge technologies and methodologies.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $257,000 - $357,250/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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