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