Palo Alto Named Account Manager - Conglomerates South 

India, Karnataka, Bengaluru 

730849960

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll 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 agents—such as conversational systems that allow users to query massive datasets using natural language—to 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. You'll 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

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.

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.

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 $122,000 - $179,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.