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Job Summary:
Gartner is a leading company that provides actionable insights for IT and business leaders. In this role, you will lead complex data science projects, develop AI-powered chatbot systems, and enhance client experiences through advanced analytics and machine learning.
Responsibilities:
• Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
• Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
• Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems
• 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 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 client's company-level priorities and deliver targeted support
• Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
• Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions
• Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
• Collaborate with engineering and product teams to launch MVPs and iterate quickly
• Independently plan and drive complex data science projects that deliver measurable business value
• Mentor junior data scientists on chatbot development, LLM applications, and best practices
Qualifications:
Required:
• 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
• Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required
• Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership
• Working experience in some of the following data science areas: Large Language Models (LLMs) and Generative AI, Conversational AI, chatbot development, and dialogue systems, Natural Language Processing and text mining, Search and Recommendation systems, Prompt engineering, LLM fine-tuning, and model optimization, AI agent architectures and orchestration
• Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
• Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle
• Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
• Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting
• Experience with cloud computing services such as AWS or Azure ML
• Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
• Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
• Bias for action and client outcome oriented
Company:
Gartner provides fact-based consulting services, helping clients use and manage IT to enhance business performance. Founded in 1979, the company is headquartered in Stamford, USA, with a team of 10001+ employees. The company is currently Late Stage.