Responsibilities & Qualifications

• Data Analysis and Statistical Modeling: Extract valuable insights from large-scale datasets, apply data science methods for statistical analysis and modeling, and transform complex analytical results into clear, actionable visualizations and recommendations to support business decision-making, forecasting, and process optimization.
• AI-Driven Initiatives: Lead the design, development, and deployment of LLMs applications/agentic models, collaborating closely with business and technical teams to implement AI solutions that enhance team efficiency and capabilities.
• Prompt Engineering and Model Optimization: Utilize prompt engineering, model selection, hyperparameter tuning, model fine-tuning, data retrieval, and coding to develop key product features. Optimize LLM performance to ensure efficient application in business scenarios.
• Cross-Functional Collaboration: Work closely...