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Senior Data Scientist - AI Research & Reliability

Gong· Engineering
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Hybrid (Tel Aviv)Full-timePosted 2mo ago

About the role

Senior Data Scientist on the AI Research & Reliability team at Gong, focusing on cutting-edge LLMs, NLP, and machine learning to architect, evaluate, and deploy enterprise-grade AI capabilities at scale.

Responsibilities

  • The AI Technical Strategy: 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. Define the overarching AI approach, agent architectures, success metrics, and long-term technical vision before implementation.
  • Advanced Agentic Systems: Architect, build, and optimize complex sub-agents, tool-use mechanisms, retrieval systems, and memory architectures that power Gong AI Agents. Establish industry-leading evaluation frameworks and benchmarks to rigorously measure and continuously improve workflow reliability.
  • Conversational Intelligence at Scale: Pioneer new NLP- and LLM-based methodologies to analyze massive, unstructured conversation datasets. You will design approaches that capture the deep intent, nuance, and strategic signals within human interactions.
  • Production-Grade Model Engineering: Architect highly robust and scalable Python pipelines. Set the standard for creating proprietary datasets, training/fine-tuning models, and integrating LLM-powered solutions into production environments serving millions of critical customer interactions.

Qualifications

  • M.Sc. or Ph.D. in Computer Science, Mathematics, Statistics, or related exact science field with deep NLP/ML background
  • 5+ years of industry experience in data science or machine learning, with proven production-grade AI/NLP delivery
  • Deep expertise in modern AI architectures, advanced RAG, LLM fine-tuning, agentic workflows (e.g., LangChain, LlamaIndex), and robust LLM evaluation methodologies
  • Exceptional Python engineering skills and mastery of ML/data ecosystem libraries (pandas, NumPy, scikit-learn, PyTorch, Transformers)
  • Demonstrated ability to tackle ambiguous problems, design complex experiments, and translate technical findings into strategic product roadmaps
  • Strong architectural mindset for scalable, reliable data systems
  • Excellent cross-functional communication and leadership skills to influence Product and Engineering teams
  • Hybrid work model familiarity or openness to hybrid arrangement

Skills

Required:AI product lifecycle leadershipAdvanced agentic systemsNLP and LLM methodologiesProduction-grade model engineering

Benefits

  • Hybrid work model
Last updated Oct 4, 2026. Interested? Apply on the company site.
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About Gong

Gong Revenue AI OS helps your entire GTM organization win. Drive growth with multimodal revenue signal processing, specialized AI agents, and purpose-built applications.

AIAI agents for revenue teamsAI-powered revenue signalsGong AgentsGong CollectiveGong EnableGong EngageGong Forecast
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