Join our dynamic BTI Data Science team and help transform Gartner’s research content & insights operation
Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders
Architect and build sophisticated agent systems and agentic workflows that provide intelligent, personalized Analyst experiences at scale
Design and implement advanced AI tools
Build user profiling and personalization models
Collaborate with leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
Stay on top of fast-moving AI/ML models and technologies
Mentor junior data scientists in AI Engineering

6-8 years of hands-on experience in advanced ML engineering and enterprise tool/product development
at least 2 years deploying and managing LLMs in production
over 1 year designing and implementing agents and multi-agent systems for enterprise business applications
Bachelor’s degree required; Master’s or PhD preferred
Strong communication skills in technical and business domains
Experience and proficiency with Python, deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face), LLM & Agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex)
SQL/relational databases (e.g., Oracle)
NoSQL databases (e.g., MongoDB, graph database)
vector databases (e.g., Pinecone, Weaviate)
distributed machine learning (Spark)
AI evals and observability solutions

Senior Data Scientist

Key skills