Sr. Director, Data Science

Your Career

We are seeking a hands-on leader to build and guide the data science discipline at our company. You will be a strategic partner to leaders across several functions including GTM Customer Success Product and Marketing shaping our most critical business decisions. Your team will serve as the companys quantitative center of excellence tackling our most ambiguous and complex challenges.

Were looking for a player-coach who can both nurture a high-performing team and dive deep into the technical work. You have a background of statistics and ML but you are actively leaning into the AI revolution to transform your own work and that of your team. If you thrive on owning open-ended problems navigating both technical and organizational complexity and building systems that drive real-world value this role offers a unique opportunity to make a lasting impact.

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 isnt done until its deployed. You will ensure your teams work is productionalized monitored and maintained leveraging your practical knowledge of data engineering and MLOps.

Qualifications :

Your Experience 

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

• Masters 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.

Additional Information :

The Team

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.

We believe in using AI to amplify not replace human intellect. We expect you to champion this mindset. You and your team will leverage the best tools availablefrom generative AI for code and analysis to agentic data science frameworksto accelerate your impact.

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 $257000 - $$357250/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

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.