Data Scientist Full Stack

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.
Our vision is a world where each day is safer and more secure than the one before. 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.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution.

From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEX Benefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Your Career

As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise.

You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives.

You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work.

Your Impact

In this versatile role, you will drive impact across both data engineering and data science domains:

Data Engineering Foundations

• Design & Development:
  Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.

• Data Engineering:
  Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.

• Data Security & Scalability:
  Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.

• Process Improvement:
  Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes.

AI/ML Innovation & Business Impact

• Develop & Deploy Classical ML Models:
  Own the end-to-end lifecycle of machine learning projects. You'll build and product ionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales.

• 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…