You'll be part of our new Dynamic Pricing & 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.
\nYou'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.
\nAs a Senior Data Scientist, you'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:
\nYou'll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You'll have a strong background in statistics, forecasting, and machine learning. You'll be hands-on with Python and SQL, and confident working with large datasets. You'll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).
\nYou'll be a self-starter: proactive, hungry to learn, and eager to make an impact. You'll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.
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\nRequired experience includes 10+ years of software engineering experience, 5+ years managing engineering managers, and leading engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business. You should also have scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality, and be technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces.
\nNice-to-have experience includes healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes, experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design), experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows), and experience rethinking team structure or hiring profiles in response to AI productivity gains.
\nOur stack includes Python (Django/FastAPI), TypeScript/React, Elasticsearch, PostgreSQL, Redis, dbt, Snowflake, Temporal, and custom ML models. Everything runs on AWS.
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