Full Stack Data Scientist (DevEx AI)

Reposted Yesterday
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Hiring Remotely in Tel Aviv
Remote or Hybrid
Mid level
Productivity • Sales • Software
The Work OS that gives everyone the power to build and improve the way their organization runs.
The Role
The Full Stack Data Scientist will leverage generative AI and data science to develop innovative tools, lead AI research and development, and optimize intelligent systems for developer experience at monday.com.
Summary Generated by Built In
Description

We are monday.com, a global software company transforming how businesses run. Our platform empowers ~245,000 customers worldwide to reimagine work, drive efficiency, and scale like never before.

With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

About the team

We’re looking for a Full Stack Data Scientist to join our Core Engineering department, driving the future of AI-powered developer experience (DevEx) 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 AI)


Social Description
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Our Team
None
Position Type
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Top Skills

Deep Learning
Generative Ai Models
Multi-Agent Architectures
Nlp
Prompt Engineering
Python
Rag Pipelines
Typescript

What the Team is Saying

Matthew Burns
Nate
Ruchita
Dipro
Nate
Kyle
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The Company
HQ: New York, NY
3,049 Employees
Year Founded: 2012

What We Do

monday.com is a work operating system that transforms the way teams work together. We’ve created a solution that connects people to workplace processes promoting a culture of transparency & empowerment. We're obsessed with building an excellent product. Our goal is to create a work operating system that people will love to use—one that’s fast, beautiful & responsive.

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

Team
Customer Experience
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-Yafo, IL
Denver, CO
London, GB
Melbourne, VIC
São Paulo, BR
Sydney, NSW
Warsaw, PL
Learn more

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