Develop and enhance pricing optimization models using statistical, machine learning, and Generative AI techniques.
Analyze pricing elasticity to understand customer behavior and forecast business impact.
Build, fine-tune, and deploy Generative AI/LLM-based models (e.g., for scenario simulation, automated insights, or decision support).
Use AWS SageMaker for scalable model development, training, deployment, and monitoring.
Apply Bayesian modeling approaches to quantify uncertainty, support strategic pricing decisions, and improve prediction robustness.
Integrate GenAI tools/frameworks (e.g., LangChain, Hugging Face, prompt engineering, LLM-based automation) into pricing workflows.
Work cross-functionally with engineering, product, and business teams to embed data-driven insights into operational processes.
Communicate complex findings clearly to both technical and non-technical stakeholders.
Continuously explore new GenAI and ML techniques to enhance solution accuracy, scalability, and automation.

Lead Data Scientist