Job Overview
- 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.
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