Data Scientist at Gartner in Irving, TX

Summary: Gartner is a leading company that guides IT and business leaders worldwide. They are seeking a Data Scientist to leverage advanced analytics and machine learning to enhance their Client Experience Digital Platform by developing intelligent tools and AI-powered chatbot systems. 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 Required Qualifications: - 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 Required Skills: Machine Learning, Conversational AI, Natural Language Processing, Large Language Models Important Skills: Python, AI agent architectures, SQL databases, Cloud computing (AWS/Azure) Nice-to-Have Skills: communication skills, Problem solving, Collaboration Benefits: Generous paid time off policy, Charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP), 401k match up to $7,200 per year, The opportunity to purchase company stock at a discount