happyhotel helps hotels generate more revenue – with intelligent, dynamic pricing and automated decision-making. We are revolutionizing the hotel industry and are looking for talented individuals who can transform technological complexity into scalable processes.

Your role

As aMachine Learning Engineer, you'll work in thePricing & Revenuecontext on data-driven improvements for forecasting, pricing logic, and product insights. You'll build analyses and models that have a measurable impact on the product – with thorough evaluation, a solid data foundation, and pragmatic implementation. You'll work closely with Product & Engineering.

Your tasks

• Model Evolution:You will develop and optimize our forecasting and pricing models as well as data-driven decision logics, always methodically pragmatic and fully focused on impact.

• Signal Hunting:You work with time series, demand signals, and heterogeneous data sources. You define features and labels so clearly that leakage has no chance.

• Measurement & Guardrails:You are responsible for evaluation through backtests, robust metrics, and segmentation. You support holdouts and A/B logic and maintain a balance between offline and online performance.

• Data Visibility:You develop dashboards and reports that make model and business KPIs transparent. Your focus is always on the highest data quality.

• Smart Workflows:You drive reproducible workflows (versioning, clean pipelines, meaningful tests) and automate recurring analyses and evaluation runs.

Your profile

• Track Record:You have 2-4+ years of experience in Data Science, Analytics or Applied ML – ideally directly in a product or business context.

• Data Intuition:You possess extremely strong SQL skills and a deep sense for data quality, debugging, and consistent metrics.

• Python Pro:Your Python code is clean and your analyses are comprehensible. Prior experience with product-related setups is a big plus.

• Experimental mindset:You have mastered the basics of bias/leakage awareness and know how to think in guardrails and offline-vs-online scenarios.

• Work Style:You take fullownershipof your tasks. You work according to the 80/20 principle (pragmatically!), are reliable, and communicate clearly.

• Entrepreneurial Spirit:You think like an entrepreneur and really want to make a difference.

• Language skills:You speak fluent German and have good English skills.

Nice-to-haves – what distinguishes the best

• Domain Expertise:You already have experience in revenue management or dynamic pricing (e.g., hotel, travel, eCommerce or mobility).

• Demand Knowledge:You are familiar with seasonality, events, lead times, and segment patterns.

• Modern Stack:You have already worked with analytics engineering or warehouse tools like dbt, Snowflake or Metabase.

We've set out not just to digitize the hotel industry, but to elevate its technological foundation to a new level. If you're interested in taking responsibility for the technical backbone of a multi-million-dollar portfolio and scaling the next generation of automated revenue management with us, then let's talk!

Apply now – we look forward to setting the next milestone for happyhotel together with you.