Lead Data Scientist

Job description

Key Responsibilities Develops complex queries and performs extensive programming to access, transform, and prepare large scale data for statistical modeling and AI applications. Leads diagnostic, predictive, and prescriptive analytics initiatives to support strategic and operational decision-making . Identifies data inconsistencies, documents assumptions, and addresses data quality gaps to ensure reliable model outcomes. Designs, trains, evaluates , and deploys machine learning and AI models (e.g., supervised/unsupervised learning, NLP, time series, optimization). Apply generative AI techniques (e.g., LLMs, embeddings, prompt engineering, agents) to enable automation, insight generation, and intelligent user experiences. Guides model validation, performance monitoring, explainability, and responsible AI practices. Engages with business and technology stakeholders to understand problems, formulate hypotheses, and translate requirements into analytic and AI solutions. Serves as an AI and analytics expert on cross functional initiatives, contributing to enterprise wide data and AI maturity. Prepares and delivers clear, concise insight presentations and recommendations to technical and...