monday.com
We aremonday.com , a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater 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 As a Full Stack Data Scientist at monday.com, you will be at the forefront of integrating cutting-edge AI capabilities across our platform. You will play a pivotal role in developing and deploying AI-driven features that enhance our
CRM, Open Platform, and AI R&D
initiatives. Your work will directly impact how businesses manage relationships, build software, and leverage AI to create new user experiences.
Why Join Us? Be part of one of the fastest-growing SAAS platform companies, with AI at the core of our future.
Work on impactful AI-driven projects that redefine how businesses operate and build software.
Join a highly collaborative, innovation-driven team that values creativity and data-driven decisions.
Enjoy a dynamic work environment with opportunities for growth, learning, and leadership.
If you’re excited about building the future of AI-powered platforms and transforming how businesses run, we’d love to hear from you!
***This position is available at our Tel Aviv office only.
Apply to this job
We believe in equal opportunity.
monday.com is an equal opportunity employer and bans discrimination and harassment of any kind. monday.com is committed to the standard of equal employment opportunity for all employees and to creating and maintaining a workplace free of discrimination and harassment.
All qualified applicants will be considered for employment regardless of any personal characteristic. We encourage candidates from all backgrounds to apply, regardless of their race, religion, national origin, ethnicity, sexual orientation, gender identity, age, marital status, family or parental status, physical or mental disability or any other status protected by the laws or regulations in the locations where monday.com operates.
monday.com is committed to working with and providing access and reasonable accommodation to applicants with any disabilities. If you think you may require accommodation for any part of the recruitment process, please send a request to accommodations@monday.com.
All requests for accommodation are treated confidentially, as practical and permitted by law.
About The Role
Utilize generative AI technology to create innovative features within monday.com's ecosystem
Initiate, plan, design, and execute AI flows from research to production
Collaborate with full-stack developers, product managers, data analysts, product designers, and other stakeholders to build production-ready capabilities for over 2 million users
Your Experience & Skills
4+ years of 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
Solid understanding of transformers and evaluation methodologies of LLMs using frameworks like Hugging Face, LangChain, and LlamaIndex
Proficiency in Python is a must; knowledge of Typescript is an advantage
Team player with strong communication skills
B.Sc. and ideally an advanced degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent experience
Meet the R&D team
Meet the R&D team The R&D Team is passionate about building innovative and lovable products, while tackling complex engineering problems at a great scale. We’re accountable for bringing the company’s vision to life by navigating our progress into flawless execution and encouraging full ownership and independence in all projects.
#J-18808-Ljbffr
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 As a Full Stack Data Scientist at monday.com, you will be at the forefront of integrating cutting-edge AI capabilities across our platform. You will play a pivotal role in developing and deploying AI-driven features that enhance our
CRM, Open Platform, and AI R&D
initiatives. Your work will directly impact how businesses manage relationships, build software, and leverage AI to create new user experiences.
Why Join Us? Be part of one of the fastest-growing SAAS platform companies, with AI at the core of our future.
Work on impactful AI-driven projects that redefine how businesses operate and build software.
Join a highly collaborative, innovation-driven team that values creativity and data-driven decisions.
Enjoy a dynamic work environment with opportunities for growth, learning, and leadership.
If you’re excited about building the future of AI-powered platforms and transforming how businesses run, we’d love to hear from you!
***This position is available at our Tel Aviv office only.
Apply to this job
We believe in equal opportunity.
monday.com is an equal opportunity employer and bans discrimination and harassment of any kind. monday.com is committed to the standard of equal employment opportunity for all employees and to creating and maintaining a workplace free of discrimination and harassment.
All qualified applicants will be considered for employment regardless of any personal characteristic. We encourage candidates from all backgrounds to apply, regardless of their race, religion, national origin, ethnicity, sexual orientation, gender identity, age, marital status, family or parental status, physical or mental disability or any other status protected by the laws or regulations in the locations where monday.com operates.
monday.com is committed to working with and providing access and reasonable accommodation to applicants with any disabilities. If you think you may require accommodation for any part of the recruitment process, please send a request to accommodations@monday.com.
All requests for accommodation are treated confidentially, as practical and permitted by law.
About The Role
Utilize generative AI technology to create innovative features within monday.com's ecosystem
Initiate, plan, design, and execute AI flows from research to production
Collaborate with full-stack developers, product managers, data analysts, product designers, and other stakeholders to build production-ready capabilities for over 2 million users
Your Experience & Skills
4+ years of 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
Solid understanding of transformers and evaluation methodologies of LLMs using frameworks like Hugging Face, LangChain, and LlamaIndex
Proficiency in Python is a must; knowledge of Typescript is an advantage
Team player with strong communication skills
B.Sc. and ideally an advanced degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent experience
Meet the R&D team
Meet the R&D team The R&D Team is passionate about building innovative and lovable products, while tackling complex engineering problems at a great scale. We’re accountable for bringing the company’s vision to life by navigating our progress into flawless execution and encouraging full ownership and independence in all projects.
#J-18808-Ljbffr