Senior Data Scientist

Your Experience & Skills 5+ years of experience as a Data Scientist or Research Scientist working on search, NLP, or ML-driven products. Hands-on experience with vector databases, embeddings, cross-encoders, and evaluation methodologies. Strong background in experimental design, A/B testing, and data analysis. Proven track record of translating user interaction data into product and technical insights. Familiarity with query understanding, ranking models, and search evaluation metrics Strong communication skills—you can present complex evaluation results in a clear, actionable way. Bonus: Experience working with large-scale user behavior data and building proactive evaluation frameworks. 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 ~250,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before. With over 2,900 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. We fully embrace the AI revolution and equip you with AI-powered IDEs, customizable agent rules, prompt engineering tools, and AI-infused CI/CD pipelines designed to boost speed and reliability. You'll also tap into AI-driven insights, helping you make smarter decisions, faster. We’re looking for a Data Scientist to join Core Services group and help us benchmark, evaluate, and guide the future of search and information retrieval at monday.com. This role is all about understanding how our users search data in monday.com, how they interact with AI products using search, and how we can push the limits of retrieval and ranking models to meet their needs. The role is based in our Warsaw office - established in 2022, it is a growing hub for engineers who love solving impactful problems. Teams here work on a broad range of challenges that push the boundaries of our products and infrastructure. Salary & Compensation Base salary Bonus target Restricted Stock Units (RSUs) The total target monthly compensation for this role ranges from 48,000 PLN to 65,000 PLN. The final offer will depend on the candidate’s experience, skills, and job-related expertise. Benefits From Monday to Wednesday, we'll fuel your day with free breakfast and lunch in the office. Enjoy private medical care and Multisport card to keep you healthy. We've got you covered with life insurance. We care of employee's mental health as well - you will get access to Calm Mindfulness App. Get awesome discounts on our partners' products and services. Join in on our fun team events and get-togethers. Look forward to a little something special from us during your birthday and work anniversaries. For Online Learning opportunities, you will gain access to LinkedIn Learning. ,[Build and maintain benchmark sets to evaluate our search stack end-to-end (vector search, lexical search, user-contextual search)., Design and run experiments to understand user and AI products search patterns, and information needs., Evaluate and compare embedding models, cross-encoders, and textualization strategies, making proactive recommendations for adoption., Assess alternative vector DBs, configurations, and query parameters to drive improvements in retrieval quality., Extend benchmarks into future-facing models (query refinement and understanding, scoring models combining multiple signals)., Interpret results and drive data-backed technical direction to improve search capabilities across monday.com., Partner closely with AI engineers, ML Ops, and product teams to turn insights into scalable features.] Requirements: NLP, Testing, Data analysis, Communication skills Additionally: Sport subscription, Private healthcare, Small teams, International projects, Free coffee, Bike parking, Shower, Free snacks, Free lunch, Modern office, No dress code, Free breakfast.