Senior Machine Learning Engineer

Role Overview

As a Senior Machine Learning Engineer at happyhotel, you will focus on enhancing forecasting, pricing strategies, and product insights through data-driven innovations in the Pricing & Revenue space. You'll develop analyses and models that have a measurable impact on the product by ensuring rigorous evaluation, a robust data foundation, and practical implementation. This role entails close collaboration with Product and Engineering teams.

Key Responsibilities

• Continuously develop and refine forecasting and pricing models as well as data-driven decision rules, emphasizing practical impact and methodical pragmatism.
• Analyze time series, demand indicators, and diverse data sources; design clean features and labels to prevent data leakage.
• Oversee evaluation processes utilizing backtesting, reliable metrics, and segmentation; support holdouts and A/B testing while monitoring consistency between offline and online model performance.
• Implement machine learning engineering best practices, including backtesting, reproducibility, and version control, prioritizing engineering quality over ad-hoc notebook solutions.
• Create dashboards and reports to provide transparent views of model and business KPIs, maintaining high data quality standards.
• Advance reproducible workflows featuring versioning, robust pipelines, and meaningful tests; automate recurring analyses and evaluation runs.

Required Qualifications

• At least 4 years of experience in Data Science or applied machine learning engineering, preferably within product or business environments.
• Exceptional SQL skills combined with a strong intuition for data quality, debugging, and consistent metric generation.
• Proficient in writing clean Python code and producing transparent analyses; experience with production-level setups is highly advantageous.
• Solid understanding of experimental design, including awareness of bias, data leakage, guardrails, and alignment between offline and online scenarios.
• Ability to take full ownership of assigned projects, applying an 80/20 pragmatic approach while maintaining reliability and clear communication.
• Entrepreneurial mindset aimed at driving meaningful progress and innovation.
• Fluency in German and good command of English are required.

Preferred Skills and Experience

• Domain knowledge in revenue management or dynamic pricing, especially in sectors such as hospitality, travel, e-commerce, or mobility.
• Familiarity with seasonality, events, lead times, and customer segmentation patterns.
• Experience working with analytics engineering or data warehouse tools like dbt, Snowflake, or Metabase.
• Practical knowledge of MLOps tools and cloud infrastructure such as AWS is a plus.

About happyhotel

We aim not only to digitize the hospitality industry but also to elevate its technological foundation to new heights. If you want to take responsibility for the technological backbone of a multi-million portfolio and co-develop the next generation of automated revenue management, we look forward to your application!