Senior Machine Learning Engineer; m​/f​/d

Your Role

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.

• Model Evolution: You will develop and optimize our forecasting and pricing models as well as data-driven decision logics, always with methodical pragmatism and a strong focus on impact.

• Signal Hunting: You will work with time series, demand signals, and heterogeneous data sources. You define features and labels carefully to leave no chance for leakage.

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

• ML Engineering Best Practices
  :
  You raise standards for backtesting, reproducibility, and versioning. For us, it's:
  Engineering quality instead of notebook-only.

• Data Visibility: You enhance 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, clear pipelines, meaningful tests) and automate recurring analyses and evaluation runs.

• Track Record: You have 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 sense for data quality, debugging, and consistent metrics.

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

• Experiment Mindset: You master the basics of bias/leakage-awareness and know how to think in 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 clearly.

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

• Language
  
  Skills:
  
  You communicate fluently and confidently in English.

Nice-to-haves – What Sets the Best Apart

• 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 such as dbt, Snowflake, or Met

• Hands-On MLOps & Cloud
  :
  Bonus if you have hands-on skills to work with MLOps tooling and cloud infrastructure, e.g. AWS