Senior Machine Learning Engineer (m/f/d)

As a

, you will work in the

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.

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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. •

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

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. •

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

You enhance dashboards and reports that make model and business KPIs transparent. Your focus is always on the highest data quality. •

You drive reproducible workflows (versioning, clear pipelines, meaningful tests) and automate recurring analyses and evaluation runs.

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You have 4+ years of experience in data science or applied ML engineering - ideally directly in a product or business context. •

You possess extremely strong SQL skills and a deep sense for data quality, debugging, and consistent metrics. •

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

You master the basics of bias/leakage-awareness and know how to think in guardrails and offline-vs-online scenarios. •

You take full

of your topics. You work according to the 80/20 principle (pragmatic!), are reliable, and communicate clearly. •

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

You are fluent in German and have good English skills.

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You already have experience in revenue management or dynamic pricing (e.g., hotel, travel, eCommerce, or mobility). •

You are familiar with seasonality, events, lead times, and segment patterns. •

You have already worked with analytics engineering or warehouse tools such as dbt, Snowflake, or Met •

: Bonus if you have hands-on skills to work with MLOps tooling and cloud infrastructure, e.g. AWS Find more English Speaking Jobs in Germany on Arbeitnow