monday.com, Israel
Full Stack Data Scientist (AI Team)
monday.com, Israel, Chicago, Illinois, United States,
monday.com is looking for a
full-stack data scientist
to join our brand new AI R&D team within the platform. You will take part in implementing generative AI capabilities within monday.com AI platform including defining the strategy of using LLMs, training it with proprietary data, and productizing it as part of our platform offering.The ideal candidate will have a full-stack mindset, meaning they will actively participate in the data science, engineering, product, and business aspects of the role. You'll utilize the latest genAI technology to deliver maximum value and impact to our users.You will utilize cutting-edge generative AI technology to develop and deploy innovative features at scale within monday.com's ecosystem.You will be responsible for initiating, planning, designing, and executing AI flows from research to production.You will use your engineering background, deep understanding of AI models, and data science methodologies to evaluate and develop AI-based pipelines.You will work closely with full-stack developers, product managers, data analysts, product designers, and other team stakeholders to build production-ready capabilities for more than 2 million users.Your Experience & Skills
B.Sc . and ideally an advanced degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent experience3+ years of experience as a Data Scientist in non-academic settings, ideally with a focus on Large Language Models, NLP, or other deep learning fieldsA demonstrated record of conceiving, designing, and shipping successful data science projects to productionHands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures. Also, a solid understanding of transformers, optimized fine-tuning techniques, and evaluation methodologies of LLMs while using relevant frameworks (Hugging Face, LangChain, LlamaIndex, etc)Strong understanding of machine learning and deep learning algorithms and principles and familiarity with relevant frameworks (TensorFlow, PyTorch, etc. )High proficiency in Python - A mustPrevious knowledge in Typescript - An advantageTeam player with strong communication skillsThis is a full-stack role - an ideal candidate will not only be comfortable with algorithmic tasks and modeling but also have the technical know-how to set up and operate the environments and tooling that they require
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full-stack data scientist
to join our brand new AI R&D team within the platform. You will take part in implementing generative AI capabilities within monday.com AI platform including defining the strategy of using LLMs, training it with proprietary data, and productizing it as part of our platform offering.The ideal candidate will have a full-stack mindset, meaning they will actively participate in the data science, engineering, product, and business aspects of the role. You'll utilize the latest genAI technology to deliver maximum value and impact to our users.You will utilize cutting-edge generative AI technology to develop and deploy innovative features at scale within monday.com's ecosystem.You will be responsible for initiating, planning, designing, and executing AI flows from research to production.You will use your engineering background, deep understanding of AI models, and data science methodologies to evaluate and develop AI-based pipelines.You will work closely with full-stack developers, product managers, data analysts, product designers, and other team stakeholders to build production-ready capabilities for more than 2 million users.Your Experience & Skills
B.Sc . and ideally an advanced degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent experience3+ years of experience as a Data Scientist in non-academic settings, ideally with a focus on Large Language Models, NLP, or other deep learning fieldsA demonstrated record of conceiving, designing, and shipping successful data science projects to productionHands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures. Also, a solid understanding of transformers, optimized fine-tuning techniques, and evaluation methodologies of LLMs while using relevant frameworks (Hugging Face, LangChain, LlamaIndex, etc)Strong understanding of machine learning and deep learning algorithms and principles and familiarity with relevant frameworks (TensorFlow, PyTorch, etc. )High proficiency in Python - A mustPrevious knowledge in Typescript - An advantageTeam player with strong communication skillsThis is a full-stack role - an ideal candidate will not only be comfortable with algorithmic tasks and modeling but also have the technical know-how to set up and operate the environments and tooling that they require
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