Full Stack Data Scientist (DevEx Internal AI)

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Tel Aviv, ISR
Remote or Hybrid
Mid level
Artificial Intelligence • Productivity • Sales • Software
Shaping the way the world works.
The Role
The Full Stack Data Scientist will leverage generative AI to create developer tools, lead AI research from data preparation to production, optimize LLM-based systems, and collaborate on AI best practices.
Summary Generated by Built In
Description

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

About the team

We’re looking for a Full Stack Data Scientist to join our AI Engineering, driving the future of AI-powered developer experience (DevEx internal AI) at monday.com.

In this role, you’ll harness the power of generative AI and data science to design, build, and optimize intelligent systems that elevate the way developers work - from ideation to production.

***This position is available at our Tel Aviv office only.

#LI-DNI

About The Role
  • Leverage generative AI models and data-driven insights to create innovative developer tools and capabilities within monday.com’s ecosystem.
  • Lead end-to-end AI research and development, from data preparation and experimentation to production deployment, with a focus on evaluating solutions and designing effective performance metrics.
  • Develop and optimize LLM-based systems, including prompt engineering, RAG pipelines, and multi-agent architectures.
  • Partner with software engineers, product managers, designers, and analysts to build scalable, production-ready AI solutions used by monday's Builders .
  • Design and conduct experiments to measure and improve model performance, and overall system impact.
  • Collaborate on defining AI/ML best practices, tooling standards, and long-term data strategies for the DX group.
Requirements
  • 4+ years of proven experience as a Data Scientist in non-academic settings, with a focus on Large Language Models, NLP, or other deep learning fields
  • Proven track record of conceiving, designing, and shipping successful agentic-driven projects to production
  • Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures
  • Proficiency in Python is a must; knowledge of Typescript is an advantage
  • Team player with strong communication skills
  • A data-driven innovator passionate about advancing the developer experience through AI.
  • Curious and creative - eager to explore cutting-edge LLMs and emerging AI frameworks.
  • Analytical and experimental, with a strong bias for measurable impact and real-world outcomes.
  • A collaborator who thrives in interdisciplinary environments.
  • Motivated by impact, experimentation, and empowering developers to achieve more with data and AI.
Social Title

Full Stack Data Scientist (DevEx Internal AI)

What the Team is Saying

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The Company
HQ: New York, NY
3,049 Employees
Year Founded: 2012

What We Do

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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monday.com Teams

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About our Teams

monday.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model!

Typical time on-site: 3 days a week
HQNew York, NY
HQTel Aviv
Denver, CO
London
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Paris, France
Sao Paolo
Singapore
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