Senior Data Scientist - Hybrid ML&AI Systems (Santa Clara)

Palo Alto Networks, Inc.; California; Vor Ort; USD 129.000 - 209.000; Vollzeit

Zusammenfassung

Palo Alto Networks in Santa Clara, CA, is seeking a Senior Data Scientist to advance ML and AI initiatives across business operations. This hybrid role blends building production ML models with partnering across marketing, product, and finance to unlock opportunities with data and AI.

You will own the full data science lifecycle, deploying models for attribution, churn, and forecasting, and visualizing results with Tableau/Looker to inform strategy.

Qualifikationen

• Bachelor’s degree with 3+ years of related experience, OR Master’s with 1+ year, OR PhD with 6+ months academic research.
• Strong foundation in statistics and probability with standard data science algorithms.
• Hands-on experience building and deploying ML models in production.
• Python and data science libraries proficiency (Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).
• SQL proficiency for complex queries.

Aufgaben

• Own end-to-end ML project lifecycle from problem understanding to deployment.
• Characterize, evaluate, and fine-tune AI agents and related systems.
• Collaborate with Marketing, Product, Finance and GTM teams to translate business needs into data science solutions.
• Develop dashboards and visualizations to communicate insights to non-technical stakeholders.
• Monitor model performance and retrain as needed in partnership with data platform teams.
• Drive data storytelling to sell data-driven solutions.

Kenntnisse

Statistics & probability

Production ML deployment

Python programming

SQL querying

Data visualization

Autonomy & ambiguity navigation

Dashboard development

Ausbildung

Bachelor’s degree + 3+ years

Master’s degree + 1+ year

PhD in quantitative field

Tools

Scikit-learn

Pandas

PyTorch/TensorFlow

XGBoost

Tableau/Looker

Jobbeschreibung

Palo Alto Networks in Santa Clara, CA, is seeking a Senior Data Scientist to advance ML and AI initiatives across business operations. This hybrid role blends building production ML models with partnering across marketing, product, and finance to unlock opportunities with data and AI.

You will own the full data science lifecycle, deploying models for attribution, churn, and forecasting, and visualizing results with Tableau/Looker to inform strategy.