Senior Machine Learning Engineer (m/f/d)

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

Your Responsibilities

• 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 will work with time series, demand signals, and heterogeneous data sources. You will define features and labels so cleanly that leakage has no chance.

• Measurement & Guardrails: You will be responsible for evaluation through backtests, robust metrics, and segmentations. You will support holdouts and A/B logics, and monitor the check between offline and online performance.

• Best Practices in ML Engineering: You will set new standards for backtesting, reproducibility, and versioning. For us, what counts is: Engineering quality rather than pure notebook solutions.

• Data Visibility: You will build dashboards and reports that transparently display model and business KPIs. Your focus will always be on the highest data quality.

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

Your Profile

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

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

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

• Experiment Mindset: You master the fundamentals of bias/leakage awareness and know how to think in terms of guardrails and offline vs. online scenarios.

• Work Style: You take full ownership of your topics. You work according to the 80/20 principle (pragmatic!), are reliable, and communicate crystal clear.

• Entrepreneurial Spirit: You think entrepreneurially and want to make a real 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.

• Hands-on MLOps & Cloud: Practical experience with MLOps tools and cloud infrastructure, e.g., AWS, is a plus.

We are committed to not just digitizing the hotel industry, but raising its technological foundation to a new level. If you are eager to take responsibility for the technical backbone of a multi-million euro portfolio and scale 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.

Find more English Speaking Jobs in Germany on Arbeitnow