# Senior Data Scientist - AI Research & Reliability

**Company**: Gong
**Location**: Tel Aviv
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/gongio/jobs/4699279006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4fb50671-228

## Description

As a Senior Data Scientist on the AI Research & Reliability team at Gong, 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.

Responsibilities:

- Lead the AI product lifecycle by partnering with Product and Engineering to translate business needs into scalable AI solutions.

- Architect, build, and optimize complex sub-agents, tool-use mechanisms, retrieval systems, and memory architectures.

- Pioneer new NLP- and LLM-based methodologies to analyze massive conversation datasets.

- Design highly robust and scalable Python pipelines.

You'll solve complex business problems, including:

- Complex business context reasoning

- Architecting intelligent agent experiences

- Extracting actionable intelligence

- Advancing applied AI innovation

Requirements:

- M.Sc. or Ph.D. in Computer Science, Mathematics, Statistics, etc.

- 5+ years of industry experience in data science or machine learning

- 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

Benefits:

- Flexible hybrid work model

- Opportunity to work on complex problems and make a significant impact

## Skills

### Required
- Python
- Machine Learning
- NLP
- LLMs
- RAG
- LangChain
- LlamaIndex

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/gongio/jobs/4699279006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)