About the role
As a Lead Data Scientist, you will:
•Build and enhance AskGartner (Gartner's AI Advisor) with insights and capabilities from Gartner events and ensure seamless user experience between Events and Gartner.com digital platforms
•Build in-house Agentic products & fine tune LLMs to improve AskGartner and Gartner conferences' Agentic products
•Build & optimize Recommender systems for Gartner Global Conferences. These models ensure improved user experience before, during and after a conference
•Build & Roll-out ML/NLP/Deep learning models to improve Attendees/Exhibitor acquisition & retention
•Work closely with business to refine requirements around conferences business, build quick POCs, present findings in a consumable report or streamlit app
•Enrich conferences client dataset by leveraging scraping, predictive and generative ai tooling & capabilities
•Improve upon MLOps capabilities by building and optimizing data pipelines, model monitoring and training capabilities
•Build Evaluation Frameworks to ensure products development are tied to metrics that move the needle and can be measured offline
•Automated solutions that help conferences business and strategy teams with analytics and insights capabilities for efficient decision making
•Work closely with business and engineering counterparts to develop & deploy solutions involving production grade micro-services, data pipelines, insight dashboards
Qualifications
The ideal candidate will have:
•8+ years of hands-on experience in data science alongside a degree in computer science, statistics, mathematics or a related field. Masters or PHD highly preferred
•Hands on experience with GenAI dev tools and frameworks like LangGraph/Langchain, Langfuse
•Experience building recommender systems, search engine & query pipelines for end user applications
•Experience building and deploying enterprise grade machine learning/NLP/Deep learning, AI Agents in close collaboration with engineering and product managers
•Experience leveraging and fine-tuning Large Language Models (LLMs) or building/distilling SLMs is a plus
•Solid programming skills in Python, data science libraries (scikit-learn, TensorFlow/PyTorch, HuggingFace, etc.) and GenAI tools like claude-code, copilot
•Experience building and deploying machine learning models in close collaboration with engineering – good understanding of CI/CD pipelines
•Hands-on experience with big data technologies (PySpark) and familiarity with cloud platforms (AWS, GCP, Azure) to explore insights and working with complex datasets
•Strong ability to communicate technical concepts to non-technical audiences
What do we offer?
Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In a hybrid work environment, employees get the flexibility to work virtually when productive and come together with colleagues in person as well.
