Staff Data Scientist, Full Stack
Staff Data Scientist, Full Stack
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1 Vacancy
Job Description
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 organizations 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. Youll build and productionize 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 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 Go-to-Market (GTM) Global Customer Services (GCS) and Product and Finance teams. Youll translate business challenges into data science use-cases 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 charting 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.
Qualifications :
Your Experience
Experience building and maintain data pipeline both for reporting analysis and feature engineering.
Experience building and optimizing clean well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
Prior experience working extensively within dynamic cloud environments specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.
Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g. Scikit-learn Pandas PyTorch/TensorFlow XGBoost).
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.
Preferred Qualifications
Prior working experience in Customer Analytics space and customer experience use-cases e.g. Escalation Risk predictors Renewals and efficiency of project delivery in Professional Services space.
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.
An MS or PhD in a quantitative field like Computer Science AI Statistics or equivalent practical experience or equivalent military experience.
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 $143000- $231000/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
Employment Type
Full-time
