Data Science Lead Analyst

Position Overview Seeking a Data Science Lead Analyst to drive the design and delivery of AI/ML and GenAI solutions supporting specialty pharmacy operations. This role serves as the primary technical owner of projects, responsible for translating business problems into working systems. This requires strong hands-on capability across both machine learning and modern AI approaches, including building LLM-powered applications and retrieval-based systems that operate reliably in production environments. Key Responsibilities Lead the end-to-end development of AI/ML and GenAI solutions, from data exploration to deployment Design and implement RAG pipelines, including document processing, embedding strategies, and retrieval optimization Build LLM-based applications using frameworks such as LangChain or similar orchestration tools Develop workflows involving multi-step reasoning, tool integration, or agent-like behaviors where appropriate Translate business requirements into scalable analytical and technical solutions Perform advanced data analysis and feature engineering using Python and SQL Collaborate with engineering teams to productionize solutions via APIs and containerized services Mentor junior team members and contribute to best practices in AI/ML development Ensure solutions are measurable, explainable, and aligned with business outcomes Qualifications Required Skills Strong proficiency in Python and SQL with experience working on complex datasets Solid understanding of machine learning techniques, model evaluation, and performance tuning Hands-on experience with: LLMs (prompt design, evaluation, handling limitations such as hallucination) RAG systems (vector databases, embeddings, retrieval strategies) Langchain or similar frameworks for orchestrating LLM workflows Experience designing systems that combine structured data with unstructured text or document inputs Familiarity with APIs, microservices, and deployment patterns Strong analytical thinking and problem-solving ability Required Experience & Education Bachelor s or master s degree in computer science, Engineering, Data Science, or related field 6-9 years of experience in data science, AI/ML, or advanced analytics roles Proven experience owning end-to-end solution delivery Desired Experience Experience in healthcare, pharmacy, or operational analytics domains Exposure to cloud platforms (AWS preferred) Experience deploying LLM-based or hybrid AI systems into production