{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/dynamic-pricing"},"x-facet":{"type":"skill","slug":"dynamic-pricing","display":"Dynamic Pricing","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_02c944ab-f9e"},"title":"Senior Data Scientist - Dynamic Pricing & Revenue Management (all genders)","description":"<p>You&#39;ll be part of our new Dynamic Pricing &amp; Revenue Management team, working alongside a Data Analyst and Data Engineer. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic and data driven pricing strategy.</p>\n<p>You&#39;ll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.</p>\n<p>As a Senior Data Scientist, you&#39;ll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:</p>\n<ul>\n<li>Translate business questions into scientific, testable models and clear recommendations.</li>\n<li>Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.</li>\n<li>Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.</li>\n<li>Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.</li>\n<li>Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.</li>\n<li>Monitor model performance, iterate on results, and continuously improve accuracy and relevance.</li>\n<li>Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.</li>\n</ul>\n<p>You&#39;ll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You&#39;ll have a strong background in statistics, forecasting, and machine learning. You&#39;ll be hands-on with Python and SQL, and confident working with large datasets. You&#39;ll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).</p>\n<p>You&#39;ll be a self-starter: proactive, hungry to learn, and eager to make an impact. You&#39;ll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_02c944ab-f9e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2518625","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","SQL","Machine Learning","Forecasting","Predictive Modeling","Data Science","Data Analysis","Data Engineering"],"x-skills-preferred":["Dynamic Pricing","Revenue Optimization","Marketplace Dynamics","Cloud Computing","Big Data","Data Visualization"],"datePosted":"2026-04-18T22:10:08.998Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Machine Learning, Forecasting, Predictive Modeling, Data Science, Data Analysis, Data Engineering, Dynamic Pricing, Revenue Optimization, Marketplace Dynamics, Cloud Computing, Big Data, Data Visualization"}]}