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
Skills
- 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
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
Company Overview
Gartner provides fact-based consulting services, helping clients use and manage IT to enhance business performance. It was founded in 1979, and is headquartered in Stamford, Connecticut, USA, with a workforce of 10001+ employees. Its website is http://www.gartner.com.Company H1B Sponsorship
Gartner has a track record of offering H1B sponsorships, with 51 in 2025, 43 in 2024, 60 in 2023, 66 in 2022, 96 in 2021, 71 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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