Data Scientist

About NAYA:

We are a leading global provider of data platform and development professional services.

We are proud to be one of the fastest-growing data and development technology companies worldwide, based in Israel — and we're hiring.

We are looking for an experienced Data Scientist to join our team - to lead the development of advanced models and promote LLM and RAG-based systems in the organization.

The role includes developing ML models in diverse domains (IoT, logistics, and more) and developing and advancing RAG systems over STRUCTURED and UNSTRUCTURED data.

Areas of Responsibility:

* Developing advanced models in the time series, regression, and classification domains

* Developing and implementing an enterprise RAG system with integration of Large Language Models (LLMs)

* Using built-in tools (Copilot Studio, Azure Search) alongside open-source implementation

* Processing, analyzing, and organizing Big Data from organizational sources (documents, DBs, APIs)

* Implementing MLOps & LLMOps for automated management of training, deployment, and maintenance of models

* Optimizing Prompts, Retrieval Strategies, and Grounding to improve answer quality

Job Requirements:

Technical Experience:

* Relevant degree in Computer Science / Software Engineering / Data Science (or relevant experience)

* 3+ years of experience in AI / ML development

* Experience working with LLMs – OpenAI, Llama, Mistral, Cohere, Claude

* Experience working with Vector Databases

* Knowledge of Data Engineering – SQL/NoSQL, document processing (PDF, JSON, CSV) - MANDATORY!

* Experience working with LangChain / LlamaIndex for building smart pipelines

* Cloud experience – AWS/GCP/Azure with AzureFoundry / Bedrock / Vertex AI

* Advantage: Experience in Semantic Search, Hybrid Search, Re-ranking

Additional Skills:

Writing advanced Data Science models in the time series, regression, and classification domains.

Familiarity and knowledge with RAG and LLM is required - how to do chunking correctly, handling multimedia in documents, agents.