Data Scientist

Gartner • Stamford, CT

9h • Hybrid

About The Position

Join our fast-growing Global Product Management Data Science team and help transform Gartner’s Client Experience Digital Platform—the essential destination for IT and business leaders worldwide. As a data scientist, you’ll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients’ journey. In this role, you will work on complex data science projects in partnership with cross-functional teams, build and enhance AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You’ll develop cutting-edge conversational AI tools—including intelligent search, recommendation engines, and context-aware content systems—while ensuring seamless integration with enterprise platforms.

Requirements

• 1-3 years hands-on experience building chatbots, conversational AI systems, or other machine learning/artificial intelligence applications to drive business impact
• Bachelor's or Master's Degree 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
• Working experience in some of the following data science areas: Large Language Models (LLMs) and Generative AI Natural Language Processing and text mining Conversational AI and chatbot development Search and Recommendation systems Prompt engineering and LLM fine-tuning AI agent architectures and orchestration
• Familiarity with Model Context Protocol (MCP) and building tools for AI agents
• Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle
• Practical, intuitive problem solver with ability to translate business objectives into actionable data science tasks and implement latest ML research
• Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., huggingface, pytorch, tensorflow), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases, distributed machine learning (spark), Linux and shell scripting
• Experience with cloud computing services such as AWS or Azure ML
• Ability to work collaboratively across product, data science and technical stakeholders in a culture that thrives on feedback
• Bias for action and client outcome oriented

Responsibilities

• Work on data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
• Build and enhance AI-powered chatbot capabilities to provide intelligent, context-aware client support
• Develop intelligent tools and systems that power conversational AI, including search, recommendation, and content retrieval capabilities
• Build user understanding and personalization models to identify client cohorts and tailor interactions
• Implement and optimize Model Context Protocol (MCP) servers to enable seamless integration between AI agents and enterprise systems
• Leverage internal and external data to understand client's company-level priorities and deliver targeted support
• Maintain high-quality data science solutions with proper documentation and code-reusability principles
• Stay on top of fast-moving AI/ML models and technologies, particularly in the LLM and conversational AI space
• Collaborate with engineering and product teams to launch MVPs and iterate quickly
• Independently plan and drive data science projects that deliver clear business value

Benefits

• Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
• Collaborative, team-oriented culture that embraces diversity
• Professional development and unlimited growth opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level