Data Scientist (monday CRM)

We are monday.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.

At monday.com, we are revolutionizing the CRM space by building the most flexible, AI-powered, and user-centric solution for businesses of all sizes. Our CRM empowers sales teams, customer success managers, and operations leaders to streamline workflows, close deals faster, and unlock the full potential of their data. We are now embedding AI across our entire CRM experience, redefining how teams interact with their customers and data.

As a Full Stack Data Scientist in the CRM group, you will play a key role in integrating cutting-edge AI capabilities across the entire sales and customer journey.

You will work alongside top engineers, data scientists, and product managers to build scalable, high-performing AI features that directly impact our customers' success. If you’re excited about leveraging AI to transform how businesses manage relationships, deals, and growth, this is the role for you.

#LI-DNI

• Design, develop, and deploy AI-driven features that enhance sales automation, forecasting, customer engagement, and decision-making within Monday CRM.
• You will use your engineering background, deep understanding of AI models, and data science methodologies to evaluate and develop AI-based pipelines.
• You will be responsible for initiating, planning, designing, and executing AI flows from research to production.
• 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.

• 3+ years of experience as a Data Scientist in non-academic settings, ideally with a focus on Large Language Models, NLP, or other deep learning fields
• B.Sc. and ideally an advanced degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent experience
• A demonstrated record of conceiving, designing, and shipping successful data science projects to production
• Hands-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. )
• proficiency in Python - A must
• Previous knowledge in Typescript - An advantage
• Team player with strong communication skills

Why monday.com?

• Join one of the fastest-growing CRM products in the market, with AI at the core of its future.
• Work on impactful AI-driven projects that redefine how sales teams operate.
• Be part of 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 CRM, we’d love to hear from you!

Data Scientist (monday CRM)

At monday.com, we are revolutionizing the CRM space by building the most flexible, AI-powered, and user-centric solution for businesses of all sizes. Our CRM empowers sales teams, customer success managers, and operations leaders to streamline workflows, close deals faster, and unlock the full potential of their data. We are now embedding AI across our entire CRM experience, redefining how teams interact with their customers and data.