Lead Data Scientist

Role Overview: As the AI Lead at a pioneering company in Agentic AI solutions for Subscription Marketplace Performance Optimization, you will be responsible for defining and executing a research-intensive AI and data science agenda. Your role will involve leading foundational model research, driving agentic AI innovation, and publishing advances to propel the organization's leadership in enterprise-grade AI agent solutions. Key Responsibilities: - Lead peer-reviewed research, drive early-stage experimentation, and integrate research outcomes into advanced agentic AI products and platforms. - Mentor and inspire a research-oriented data science team. - Shape and drive original research in foundation models, large-scale generative architectures, and agentic reasoning. - Lead benchmarking, adaptation, and application of state-of-the-art generative models like LLMs and multimodal transformers for new product capabilities. - Publish high-impact research, foster industry-academic collaborations, and represent the company at AI conferences and global fora. - Prototype, validate, and transfer novel agentic AI methods into enterprise contexts. - Develop research frameworks, open science practices, and model governance for responsible AI innovation. - Guide cross-functional research teams to integrate foundational advances into the organization's agentic AI platforms. - Advise on strategic investments in AI infrastructure and drive adoption of pioneering algorithms and architectures. Qualifications: - PhD (preferred) or Masters in Machine Learning, AI, Computer Science, Mathematics, or a related quantitative discipline. - Peer-reviewed publications in top AI/ML conferences or journals. Additional Details: The company is a pioneer in enterprise-grade Agentic AI solutions, leveraging large-scale behavioral data and foundation models to enable intelligent agents to collaborate, co-create, adapt strategies, and autonomously execute actions to maximize measurable business impact.,