Data Scientist

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

Company H1B Sponsorship