# Senior Data Scientist

**Company**: NVIDIA
**Location**: Yokneam, Israel
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Data-Scientist_JR2021926-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_da04a053-c44

## Description

We seek a Senior Data Scientist to join our product-engineering data-science team and contribute to building agentic AI systems supporting NVIDIA's networking engineering workflows.

You will create and implement production-ready LLM-powered solutions that collaborate closely with networking and silicon engineering teams. These solutions will transform complex domain expertise into scalable, measurable automation combining data science and applied AI.

**Responsibilities:**

- Build and ship agentic systems featuring multi-agent coordination, long-horizon reasoning, and planning frameworks that drive real efficiency gains for networking and NW silicon engineers.

- Build full-scale domain-specific agents and retrieval pipelines (RAG) over diverse data sources, including product telemetry, development artifacts, and engineering knowledge bases.

- Partner with networking SMEs to translate rules of thumb into structured agent instructions, evaluation datasets, and feedback loops.

- Establish evaluation infrastructure using offline golden sets and live telemetry, enabling confident iteration, cost control, and safe rollout of improvements.

- Analyze agent failures and data gaps, then propose and prototype improvements to features, algorithms, and system development.

- Lay the technical groundwork for a reusable agent platform that scales beyond your immediate team.

**Requirements:**

- PhD/MSc in CS, CE, Data Science, Statistics, or a related field (or equivalent experience).

- 5+ years in applied ML/AI or large-scale systems, with 2+ years building agentic or LLM-powered applications in production environments.

- Proficiency in Python; hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, or similar.

- Hands-on fine-tuning experience across full-weight, LoRA, and PEFT methods, with a solid grasp of key concepts including scaling laws and advanced alignment techniques (RL, RLHF, RLAIF, KL-divergence regularization, and related methods).

- Hands-on NLP experience before the LLM era includes BERT, word embeddings, sequence models, and classical NLP pipelines.

- Solid ML foundations: supervised learning, feature engineering, model evaluation, and statistical modeling.

- Strong communication skills , able to align diverse collaborators, document assumptions clearly, and drive progress without formal authority.

## Skills

### Required
- Python
- LangChain
- LangGraph
- CrewAI
- LLM
- NLP
- BERT
- word embeddings
- sequence models
- supervised learning
- feature engineering
- model evaluation
- statistical modeling

### Nice to have
- networking
- NW silicon domains
- data engineering
- SQL/NoSQL
- data pipelines

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Data-Scientist_JR2021926-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)