Lead Data Scientist
Lead Data Scientist
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1 Vacancy
Job Description
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 strategy. In 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.
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
Qualifications :
Your Experience
An MS or PhD in a quantitative field like Computer Science AI Statistics or equivalent practical experience.
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.
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:
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
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 (is expected to be between $122000 - $179000/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
