Gartner · 4 hours ago
Data Scientist
Stamford, CT
Full-time
Hybrid
Entry, Mid Level
$98K/yr - $133K/yr
1+ years expGartner 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.
Business DevelopmentConsultingInformation Technology
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
Qualification
Required
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
Gartner
Gartner provides fact-based consulting services, helping clients use and manage IT to enhance business performance.
10001+ employees
H1B Sponsorship
Gartner has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (51)
2024 (43)
2023 (60)
2022 (66)
2021 (96)
2020 (71)
Funding
Current Stage
Public CompanyTotal Funding
$800M2025-11-13Post Ipo Debt· $800M
1993-10-15IPO
Leadership Team
Eugene Hall
CEO
Patrick Stakenas
Vice President, Team Manager - Tech CEO Go To Market - High Tech and Invest Research
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