Lead Data Scientist

Role Overview

As a Lead Data Scientist, you will be part of a fast-growing team that helps the world become smarter and more connected. 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.

What You Will Do

Your responsibilities will include building in-house Agentic products & fine-tuning LLMs to improve AskGartner and Gartner conferences’ Agentic products, building & optimizing Recommender systems for Gartner Global Conferences, and working closely with business to refine requirements around conferences business.

Why It Might Be a Fit

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. You will have the opportunity to work with a generous, supportive, high-performing team and enjoy a collaborative work environment, exceptional training and career development – as well as unlimited growth potential.

Requirements

• 8+ years of hands-on experience in data science
• degree in computer science, statistics, mathematics or a related field
• 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
• 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

Benefits

• world-class benefits
• highly competitive compensation
• disproportionate rewards for top performers
• hybrid work environment
• flexibility and support for you to thrive

Tagged as: Python