We are looking for a talented Data Scientist with 2–5 years of experience and strong expertise in Generative AI, Bayesian modeling, and pricing analytics. The ideal candidate brings hands-on experience in building and deploying AI/ML models—especially using AWS SageMaker—and is passionate about leveraging advanced statistical and machine learning techniques to solve real-world business problems.
In this role, you will collaborate closely with clients to design and implement next-generation pricing optimization solutions, integrate LLM-based workflows, and enhance decision-making with modern GenAI capabilities.
Work Location: Hyderabad
Key Responsibilities
- 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.
