Senior Machine Learning Engineer (m/f/d)

happyhotel

3d

About The Position

As a Senior Machine Learning Engineer, you will work in the Pricing & Revenue context, focusing on data-driven improvements for forecasting, pricing logic, and product insights. You will develop analyses and models that demonstrate measurable impact in our product – with thorough evaluation, a solid data foundation, and pragmatic implementation. You will collaborate closely with Product & Engineering.

Requirements

• 4+ years of experience in data science or applied ML engineering, ideally directly in a product or business context.
• Extremely strong SQL skills and a deep sense for data quality, debugging, and consistent metrics.
• Clean Python code and transparent analyses.
• Mastery of the basics of bias/leakage awareness and the ability to think in guardrails and offline-vs-online scenarios.
• Full ownership of topics, working according to the 80/20 principle (pragmatic!), reliability, and clear communication.
• Entrepreneurial spirit and a desire to make a difference.
• Fluent in German and good English skills.

Nice To Haves

• Experience in revenue management or dynamic pricing (e.g., hotel, travel, eCommerce, or mobility).
• Familiarity with seasonality, events, lead times, and segment patterns.
• Experience with analytics engineering or warehouse tools such as dbt, Snowflake, or Metabase.
• Hands-on skills with MLOps tooling and cloud infrastructure, e.g. AWS.

Responsibilities

• Develop and optimize forecasting and pricing models, as well as data-driven decision logics, with methodical pragmatism and a strong focus on impact.
• Work with time series, demand signals, and heterogeneous data sources, defining features and labels carefully to avoid leakage.
• Be responsible for evaluation through backtesting, robust metrics, and segmentation. Support holdouts and A/B logics and maintain the balance between offline and online performance.
• Raise standards for backtesting, reproducibility, and versioning, emphasizing engineering quality over notebook-only solutions.
• Enhance dashboards and reports to make model and business KPIs transparent, focusing on the highest data quality.
• Drive reproducible workflows (versioning, clear pipelines, meaningful tests) and automate recurring analyses and evaluation runs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed