Senior Machine Learning Engineer (m/f/d)

Your RoleAs 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.Your ResponsibilitiesModel 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.Your ProfileTrack 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