Senior Machine Learning Engineer (m/f/d)

<h2><strong>Your Role</strong></h2><p style="min-height:1.5em">As a <strong>Senior Machine Learning Engineer</strong>, you will work in the <strong>Pricing &amp; Revenue</strong> 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 &amp; Engineering.</p><p style="min-height:1.5em"></p><h2><strong>Your Responsibilities</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Model Evolution:</strong> 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.</p></li><li><p style="min-height:1.5em"><strong>Signal Hunting:</strong> You will work with time series, demand signals, and heterogeneous data sources. You define features and labels carefully to leave no chance for leakage.</p></li><li><p style="min-height:1.5em"><strong>Measurement &amp; Guardrails:</strong> 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.</p></li><li><p style="min-height:1.5em"><strong>ML Engineering Best Practices</strong>: You raise standards for backtesting, reproducibility, and versioning. For us, it's: Engineering quality instead of notebook-only.</p></li><li><p style="min-height:1.5em"><strong>Data Visibility:</strong> You enhance dashboards and reports that make model and business KPIs transparent. Your focus is always on the highest data quality.</p></li><li><p style="min-height:1.5em"><strong>Smart Workflows:</strong> You drive reproducible workflows (versioning, clear pipelines, meaningful tests) and automate recurring analyses and evaluation runs.</p></li></ul><h2><strong>Your Profile</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Track Record:</strong> You have 4+ years of experience in data science or applied ML engineering – ideally directly in a product or business context.</p></li><li><p style="min-height:1.5em"><strong>Data Intuition:</strong> You possess extremely strong SQL skills and a deep sense for data quality, debugging, and consistent metrics.</p></li><li><p style="min-height:1.5em"><strong>Python Pro:</strong> Your Python code is clean and your analyses are transparent. Initial experience with product-oriented setups is a big plus.</p></li><li><p style="min-height:1.5em"><strong>Experiment Mindset:</strong> You master the basics of bias/leakage-awareness and know how to think in guardrails and offline-vs-online scenarios.</p></li><li><p style="min-height:1.5em"><strong>Work Style:</strong> You take full <strong>ownership</strong> of your topics. You work according to the 80/20 principle (pragmatic!), are reliable, and communicate clearly.</p></li><li><p style="min-height:1.5em"><strong>Entrepreneurial Spirit:</strong> You think entrepreneurially and want to truly make a difference.</p></li><li><p style="min-height:1.5em"><strong>Language Skills:</strong> You are fluent in German and have good English skills.</p></li></ul><p style="min-height:1.5em"><strong>Nice-to-haves – What Sets the Best Apart</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Domain Expertise:</strong> You already have experience in revenue management or dynamic pricing (e.g., hotel, travel, eCommerce, or mobility).</p></li><li><p style="min-height:1.5em"><strong>Demand Knowledge:</strong> You are familiar with seasonality, events, lead times, and segment patterns.</p></li><li><p style="min-height:1.5em"><strong>Modern Stack:</strong> You have already worked with analytics engineering or warehouse tools such as dbt, Snowflake, or Met</p></li><li><p style="min-height:1.5em"><strong>Hands-On MLOps &amp; Cloud</strong>: Bonus if you have hands-on skills to work with MLOps tooling and cloud infrastructure, e.g. AWS</p></li></ul><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>