Principal Data Scientist - R01559946

Principal Data Scientist will translate complex business problems into scalable, AI-driven solutions, leading high-performing data science and AI teams and influencing senior stakeholders. Key responsibilities include problem formulation, Agentic AI and LLM solutions, LLM development and deployment, data wrangling and feature engineering, insight generation and data storytelling, technical decision-making, design thinking and innovation, and mentorship and leadership.

Requirements

• Principal Data Scientist with strong hands-on experience in LLMs and Agentic AI.
• Proven experience in deploying, fine-tuning, and operationalizing LLMs in at least one real-world, production-grade project.
• Hands-on expertise in Agentic AI frameworks and patterns, such as multi-agent systems, autonomous workflows, tool-using agents, and human-in-the-loop architectures.
• 14–18 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI, with at least 5 years in a technical leadership role.
• Proficiency in Python (mandatory); exposure to R or Scala is a plus.
• Strong foundation in machine learning, deep learning, NLP, and statistical modeling.
• Experience with LLM ecosystems and frameworks (e.g., LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Hugging Face).
• Expertise in cloud platforms (AWS, Azure, or GCP), big data technologies, and MLOps / LLMOps (model monitoring, versioning, CI/CD, cost optimization).
• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and related ML frameworks.
• Strong understanding of Responsible AI, model governance, explainability, and risk management, especially for GenAI solutions.
• Leadership & Communication: Proven ability to lead, inspire, and scale high-performing data science and AI teams. Exceptional communication and storytelling skills, with the ability to influence senior leadership and business stakeholders.
• Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Critical Leadership Qualities: Customer Advocacy, Owner’s Mindset, Innovation Ethos, Execution with Pace, Big Picture Thinking, Winning Through Teams.