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Data Scientist

Eleos Health

Eleos Health

Data Science
Tel Aviv District, Israel
Posted on Feb 12, 2026

Who is Eleos Health?

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human.

Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, we want to give clinicians the support they need to do the important work only they can do.

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.

Responsibilities
  • Contribute to our production AI services (Python)
  • Build and maintain evaluation frameworks and data pipelines
  • Conduct data analysis to support research, quality validation, and product decisions
  • Support model integration and deployment workflows
  • Collaborate with DevOps, QA, and Product teams on cross-functional deliverables
  • Document technical work and share knowledge with the team


Requirements
  • Master's degree in Computer Science, Mathematics, Statistics, Data Science, or related field; a PhD is an advantage.
  • Has 3+ years of experience with statistical and machine learning tools - Python, R, etc.
  • Strong Python programming skills
  • Strong understanding of ML/NLP fundamentals (transformers, embeddings, language models, fine-tuning concepts)
  • Experience building LLM-based systems beyond basic API calls (e.g., multi-step pipelines, structured outputs, error handling, fallbacks, agentic flows)
  • Strong data analysis skills and familiarity with evaluation methodologies & metrics
  • High proficiency with AI-assisted development tools (Cursor, Claude Code, Copilot, or similar)
  • Solid experience with APIs, databases, and software engineering best practices
  • Excellent problem-solving abilities and attention to detail
  • Strong communication skills in Hebrew & English


Advantages
  • Experience with FastAPI, Flask, or similar web frameworks
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Background in healthcare, clinical data, or sensitive data handling


What We Offer
  • Hands-on experience with production AI systems in healthcare
  • Mentorship from highly experienced data scientists and ML engineers