Sr Staff Data Scientist

Your Career

We are seeking a versatile Data Scientist to join our team and help shape the future of our business operations. This role is a unique hybrid of classical machine learning and applied AI. You will tackle diverse and impactful projects from building predictive models that drive key business decisions to characterizing and optimizing the performance of our emerging AI agentic systems.

You are an entrepreneurial problem-solver who thrives in ambiguous environments and enjoys bridging the gap between technical execution and business this role you will act as both a builder developing and deploying ML models and a strategic partner consulting with business teams to unlock new opportunities with data and AI. If you are passionate about wearing multiple hats working in a fast-paced setting and delivering high-quality impactful work we want to hear from you.

This is an in-office role 3 days/week in our HQ Santa Clara CA.

Your Impact

• Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. Youll 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 agentssuch as conversational systems that allow users to query massive datasets using natural languageto 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. Youll 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: Dont 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.

   

Qualifications :

Your Experience 

• Education & Experience:

  • Bachelors degree with 5 years of related experience; OR

  • Masters 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.

Additional Information :

The Team

Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology creating building and supporting tools and enabling our global teams on the front line of defense against cyberattacks. 

Were connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.

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 $141000 - $228050/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.

Remote Work :

No

Employment Type :

Full-time