Sr Data Scientist

• Experience developing and applying AI/ML, Generative AI, analytics, automation, BI, and data visualization solutions to supply chain use cases, using techniques such as Large Language Models, foundation models, predictive modeling, feature engineering, and exploratory data analysis to solve complex business problems.

• Hands-on experience building GenAI and LLM-based applications, including chatbots, copilots, Retrieval-Augmented Generation pipelines, vector database integration, prompt-driven workflows, context-aware AI systems, and enterprise application or workflow integration.

• Experience with AI orchestration and application frameworks such as LangChain, LangGraph, or similar tools.

• Strong understanding of AI agent architectures, orchestration patterns, Responsible AI, model validation principles, and enterprise AI governance.

• Strong hands-on development skills for AI and data science solutions, including Python, AI/ML and data science libraries, APIs, SQL/NoSQL databases, data pipelines, and modern application development practices.

• Prior exposure to pharma, life sciences, or regulated AI environments preferred; familiarity with GxP, HIPAA, or related compliance expectations is a plus.

Soft Skills
• Excellent problem-solving, storytelling, communication, and interpersonal skills, with the ability to explain technical concepts in clear business language.
• Strong verbal and written communication skills, with attention to detail, organization, documentation, and presentation abilities.
• Ability to bridge technical and non-technical teams, synthesize stakeholder inputs, and translate data and AI insights into meaningful business recommendations.
• Skilled in breaking down complex problems, documenting problem statements, estimating effort, assessing technology tradeoffs, and analyzing implementation impact.
• Independent, self-motivated, organized, and able to manage multiple priorities in fast-paced, time-sensitive environments.
• Strong collaboration, facilitation, and team-working skills, including experience working effectively with global virtual teams.
• Demonstrated ability to deliver results across Agile projects, adapt to setbacks, explore alternative approaches, and maintain persistence through completion.
• Awareness of industry trends, emerging technologies, and new approaches for solving complex business problems.