Lead Data Scientist
Core
Build and enhance AskGartner (AI Advisor), Agentic products, Recommender systems, and ML/NLP models for Gartner Global Conferences to improve user experience and client acquisition/retention.
Role type
Lead Data Scientist (GenAI & ML)
Builds
AskGartner AI Advisor, Agentic products, Recommender systems, ML/NLP/Deep learning models, MLOps pipelines, insight dashboards
Domain
Business Intelligence / AI / Conferences
Deliverable
production ML models | product features | dashboards & analysis
Required skills
GenAI development (LangGraph/Langchain), Recommender systems, LLM fine-tuning, Python, PySpark, CI/CD pipelines, MLOps, predictive/generative AI tooling
Preferred skills
Experience with SLMs, experience with cloud platforms (AWS/GCP/Azure)
Technologies
LangGraph, Langchain, Langfuse, PySpark, TensorFlow, PyTorch, HuggingFace, Streamlit, AWS, GCP, Azure
Responsibilities
Build and optimize Recommender systems for Global Conferences; Build & Roll-out ML/NLP/Deep learning models for attendee/exhibitor acquisition; Work with business to refine requirements and build quick POCs; Enrich client datasets using scraping and AI tooling; Improve MLOps capabilities by building data pipelines and model monitoring; Build Evaluation Frameworks for product metrics; Develop production-grade micro-services and insight dashboards
Seniority
Senior, hands-on IC