Senior Data Scientist - AI Research & Reliability
GongRevenue Intelligence company
Tel Aviv, IsraelSenior
Norwest Venture Partners
Coatue
Index Ventures
Salesforce Ventures
Wing Venture Capital
NextWorld Capital
Data & AI
About the role
TL;DR
Lead AI strategy, architect advanced agentic systems, and pioneer NLP/LLM methodologies for conversational intelligence at scale.
- •As a Senior Data Scientist on the AI Research & Reliability team, you will be a driving force in shaping the future of Gong AI.
- •You will act as a technical leader, working with cutting-edge LLMs, NLP, and machine learning to tackle complex customer problems.
- •Key Responsibilities Lead the AI product lifecycle by partnering deeply with Product and Engineering to translate complex business needs into scalable, state-of-the-art AI solutions.
- •Architect, build, and optimize complex sub-agents, tool-use mechanisms, retrieval systems, and memory architectures that power Gong AI Agents.
- •and LLM-based methodologies to analyze massive, unstructured conversation datasets.
- •Architect highly robust and scalable Python pipelines for proprietary datasets, model training/fine-tuning, and LLM integration into production.
- •Requirements M.Sc. or Ph.D. in an exact science field (Computer Science, Mathematics, Statistics, etc.) with a deep academic or applied background in NLP or Machine Learning. 5+ years of industry experience in data science or machine learning, with a proven track record of taking complex AI and NLP solutions from concept to large-scale production.
- •Deep expertise in modern AI architectures, specifically advanced RAG, LLM fine-tuning, agentic workflows, and robust LLM evaluation methodologies.
- •Exceptional Python engineering skills and mastery of ML/data ecosystem libraries.
- •Strong architectural mindset with the ability to foresee scaling issues and design highly reliable, performant data systems.
Required skills
PythonNLPLLMsPandasNumPyscikit-learnPyTorchLangChain
Domain expertise
aiproductivity
Tech stack
PythonNLPLLMsPandasNumPyscikit-learnPyTorchLangChain
