What is this opportunity?

We’re looking for a talented and driven Data Science to join our Data Science / Applied AI team in Tel Aviv.

You’ll work alongside senior data scientists and ML engineers on production AI systems that directly impact clinical care.

This is a hands-on role. You’ll contribute to real projects from day one: improving AI-powered services, building evaluation pipelines, working on data quality and processing, and supporting the infrastructure that keeps our systems running reliably at scale. We value people who can operate independently, learn quickly, and deliver quality work in a fast-moving environment

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Responsibiliti

• esContribute to our production AI services (Pytho
• n)Build and maintain evaluation frameworks and data pipelin
• esConduct data analysis to support research, quality validation, and product decisio
• nsSupport model integration and deployment workflo
• wsCollaborate with DevOps, QA, and Product teams on cross-functional deliverabl
• esDocument technical work and share knowledge with the te

am

Requirem

• entsMaster's degree in Computer Science, Mathematics, Statistics, Data Science, or related field; a PhD is an advant
• age.Has 3+ years of experience with statistical and machine learning tools - Python, R,
• etc.Strong Python programming sk
• illsStrong understanding of ML/NLP fundamentals (transformers, embeddings, language models, fine-tuning conce
• pts)Experience building LLM-based systems beyond basic API calls (e.g., multi-step pipelines, structured outputs, error handling, fallbacks, agentic fl
• ows)Strong data analysis skills and familiarity with evaluation methodologies & met
• ricsHigh proficiency with AI-assisted development tools (Cursor, Claude Code, Copilot, or simi
• lar)Solid experience with APIs, databases, and software engineering best pract
• icesExcellent problem-solving abilities and attention to de
• tailStrong communication skills in Hebrew & Eng

lish

Adva

• ntagesExperience with FastAPI, Flask, or similar web fram
• eworksFamiliarity with cloud platforms (AWS, Azure, o
• r GCP)Background in healthcare, clinical data, or sensitive data ha

ndling

What

• We OfferHands-on experience with production AI systems in he
• althcareMentorship from highly experienced data scientists and ML e