Gartner · 7 hours ago
Sr. Data Scientist
Stamford, CT
Full-time
Hybrid
Mid, Senior Level
$113K/yr - $147K/yr
6+ years expGartner is a leading global research and advisory company, and they are seeking a Senior Data Scientist to join their Global Product Management Data Science team. In this role, you will lead complex data science projects, focusing on developing AI-powered chatbot systems and enhancing client experiences through advanced analytics and machine learning.
Business DevelopmentConsultingInformation Technology
Responsibilities
Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems
Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
Build user profiling and personalization models to deliver tailored chatbot experiences
Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
Leverage internal and external data to understand client's company-level priorities and deliver targeted support
Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions
Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
Collaborate with engineering and product teams to launch MVPs and iterate quickly
Independently plan and drive complex data science projects that deliver measurable business value
Mentor junior data scientists on chatbot development, LLM applications, and best practices
Qualification
Required
6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
Master's Degree or PhD 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 and influence executive leadership
Working experience in some of the following data science areas: Large Language Models (LLMs) and Generative AI, Conversational AI, chatbot development, and dialogue systems, Natural Language Processing and text mining, Search and Recommendation systems, Prompt engineering, LLM fine-tuning, and model optimization, AI agent architectures and orchestration
Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle
Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting
Experience with cloud computing services such as AWS or Azure ML
Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
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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