Gartner is a leading company guiding enterprise leaders with expert analysis and actionable insights. They are seeking a Senior Data Scientist to lead AI and data science projects, working closely with cross-functional teams to develop advanced AI applications that enhance the efficiency of their research operations.
Responsibilities:
- Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities
- Architect and build sophisticated agent systems and agentic workflows that provide intelligent, personalized Analyst experiences at scale
- Design and implement advanced AI tools that facilitate human-in-the-loop content planning, content production, and insights creation, prioritizing our Analysts’ expertise
- Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
- Build user profiling and personalization models to deliver tailored chatbot experiences
- Be accountable for high-quality AI and data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
- Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
- Leverage internal and external data to understand Analysts’ priorities and deliver targeted support
- Collaborate with leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
- Pitch ideas, present solutions, and influence senior leaders and stakeholders with strong business value propositions
- Stay on top of fast-moving AI/ML models and technologies, particularly related to LLMs, multi-agent systems, agentic workflows, agentic RAG, deep agents, emerging AI architectures, and emerging generative UI/UX solutions
- Collaborate with engineering and product teams to launch MVPs, iterate quickly, and drive solutions toward production
- Independently plan and drive complex data science projects that deliver measurable business value (and measure that value/ROI)
- Mentor junior data scientists in AI Engineering, LLM app development, and best practices