DescriptionAt 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 TitleFull Stack Data Scientist (DevEx AI)

Role Description Goldbelt Professional Services, LLC is seeking a Temporary Junior Data Scientist to work with the Center for Forecasting and Outbreak Analytics, as part of the Office of the Director. This will be a remote position working with the Centers for Disease Control and Prevention (CDC). These Temporary Junior Data Scientist positions will report to Goldbelt Professional Services leadership to ensure the execution of timely, high-quality deliverables for the client. This is a Remote Temporary position that will end on or around August 31st contingent on funding, but may go until October. Responsibilities - Collaborate with CFA data scientists to characterize and summarize variations in various data sources/systems. - Apply data science and machine learning methods (e.g., principal component analysis and clustering) to identify data characteristics. - Conduct exploratory regression analyses to examine how identified data relate to disease outbreaks, with the goal of informing future intervention strategies. Qualifications - Attention to detail is necessary to ensure the client receives up to date and correct information. - Be proactive when approaching problems in daily work. - Attempt to troubleshoot issues and discuss solutions with mentors. - Excellent written and verbal communication in interpersonal exchanges. - Exhibit initiative and ability to work autonomously and in a team environment. - Outstanding judgment and decision making, demonstrating analytical and organizational skills. - Working towards a Bachelor’s degree in Public Health, Statistics, Data science, computer science, information technology, or related field. - Demonstrate excellent written and verbal communication in interpersonal exchanges. - Detailed and organized with the ability to manage multiple tasks simultaneously. - Familiar with a variety of software (SAS, R, SPSS, Stata, Python, C++). - Familiar with the use of Microsoft Office Tools (Word, Excel, Access, PowerPoint, Publisher). Preferred Qualifications - Bachelor's or Master’s degree in public health, statistics, data science, computer science, information technology, or related field. Benefits - The pay range for this position is $35 to $37 hourly. - Competitive base salary commensurate with your qualifications and experience. - Comprehensive benefits package, including medical, dental, and vision insurance. - 401(k) plan with company matching. - Tax-deferred savings options. - Supplementary benefits. - Paid time off. - Professional development opportunities.

• Develop and evolve statistical and causal inference methodologies that strengthen the rigor and reliability of Northbeam’s marketing measurement products • Enhance the accuracy, robustness, and scalability of existing MMM pipelines • Write production-quality Python and SQL, collaborating closely with Engineering to integrate statistical workflows into scalable systems • Rigorously assess model assumptions, identify potential sources of bias, and implement mitigation strategies • Debug data and modeling issues in production and improve the reliability of customer-facing results • Translate complex statistical reasoning into clear, decision-ready insights for internal stakeholders and customers

• Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions • Serve as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendations • Define north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offs • Design and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisions • Develop and maintain a deep understanding of user growth dynamics: how acquisition, activation, and retention interact to drive growth, and use that understanding to diagnose metric movements, explain trends to leadership, and anticipate emerging risks or opportunities • Contribute and own areas of the team’s forecasting and growth modeling efforts, helping translate statistical models into actionable growth strategies • Mentor and elevate other data scientists through code review, methodology guidance, and establishing reusable analytical frameworks • Represent data science in cross-functional forums, making the case for what the data shows even when it challenges prevailing assumptions • Drive alignment across data science, data engineering, and product on shared priorities like data quality, metric definitions, and instrumentation