Senior Data Scientist - AI Research & Reliability

Описание

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 our most ambiguous and complex customer problems. Working alongside Product, Engineering, and Data Scientist, you will spearhead the architecture, evaluation, and deployment of enterprise-grade AI capabilities at scale, while elevating the technical standards of the team.

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
• Define the overarching AI approach, agent architectures, success metrics, and long-term technical vision before implementation
• 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
• Pioneer new NLP- and LLM-based methodologies to analyze massive, unstructured conversation datasets
• Design approaches that capture the deep intent, nuance, and strategic signals within human interactions
• 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
• Design AI systems that can autonomously reason over vast, unstructured data spaces—combining conversations, CRM signals, and diverse data sources to uncover high-level insights and drive executive decision-making
• Solve the hardest architectural challenges around long-term memory, multi-step reasoning, retrieval accuracy (RAG), and deterministic evaluation to ensure Gong AI Agents deliver flawless, context-aware assistance
• Push the boundaries of applied NLP and LLMs to understand deep customer dynamics, foresee market trends, and transform raw, noisy conversations into structured, actionable intelligence across the customer lifecycle
• Lead experimentation with state-of-the-art AI approaches (advanced RAG architectures, parameter-efficient fine-tuning, complex agentic workflows) to solve novel product challenges and drastically improve AI quality and reliability
• Set technical standards, establish rigorous experimental frameworks, and mentor junior and mid-level data scientists, fostering a culture of excellence and data-backed decision-making

Requirements

• M.Sc. or Ph.D. in an exact science field (Computer Science, Mathematics, Statistics, etc.)
• Deep academic or applied background in NLP or Machine Learning is required
• 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 (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 autonomously, design complex experiments, and translate deep technical findings into strategic product roadmaps
• Strong architectural mindset with the ability to foresee scaling issues and design highly reliable, performant data systems
• Exceptional cross-functional communication and leadership skills; ability to influence Product and Engineering teams and explain complex AI concepts to non-technical stakeholders

We offer

• We operate in a flexible hybrid work model
• Employees are encouraged to express their personality and identity (whether gender, ethnic, religious, or sexual)
• We ensure fairness and equal opportunities
• Hybrid working model that combines working from home, on the go, or at the office
• We offer flexibility, autonomy, positive work relationships, and effective work habits