Staff Machine Learning Engineer - Pricing & Revenue (m/f/d)

Job description

## **Your Role** You will take on technical leadership and end-to-end ownership for our Pricing/Revenue-ML topics—with a clear focus on measurable impact. You will work closely with Product and Engineering, define measurability/experiments, and ensure that our models not only “look good” but also perform reliably in practice. **Important:** No disciplinary personnel responsibility. You lead through expertise, standards, and ownership. ## Your Responsibilities - **End-to-End Ownership:** You are responsible for the entire lifecycle of pricing and revenue topics—from hypothesis to implementation to measurable evaluation. Your focus: Clear business uplift. - **Smart Modeling:** You develop and optimize forecasting and pricing models. You pragmatically decide which method gets us to the goal fastest and most stably. - **Signal Expertise:** You manage time series, demand signals, and heterogeneous data sources. You ensure that features and labels are defined absolutely clean and “leakage-proof.” - **Experimentation Framework:** You build a robust measurement system (holdouts, A/B tests, guardrails) and define crystal-clear criteria for rollout decisions. - **Engineering-Grade ML:** You establish standards for backtesting, reproducibility, and versioning. For us, it's: **Engineering quality instead of notebook-only.** - **Reliable Operations:** You ensure operations through smart monitoring, drift detection, and pragmatic retraining mechanisms. - **Automation & Scale:** You automate high-leverage processes (backtests, monitoring checks) to massively increase throughput and quality. - **Data Foundation:** Where it makes sense, you design data models directly in the warehouse (Snowflake/dbt) as a basis for reliable metrics and features. - **Full Transparency:** You standardize dashboards (e.g., Metabase) for our business KPIs and ensure the data quality is beyond reproach. - **Stakeholder Sparring:** You prioritize requirements together with Product & Revenue and translate them into ML solutions. Your motto: **Impact over output.** ## Your Profile - **Deep Experience:** You have 5+ years relevant experience in ML Engineering, Data Science, or Analytics (or an equivalent track record that convinces us). - **Proven Impact:** You have already achieved demonstrable success in the areas of pricing, revenue, forecasting, or similar “money systems.” - **Evaluation Pro:** You think offline vs. online, immediately recognize bias/leakage, and master the fundamentals of robust metrics and guardrails. - **Tech Stack:** Your Python and SQL skills are production-level (testable, versioned, reproducible). - **Startup DNA:** You love the 80/20 principle, work extremely pragmatically, and want full ownership for your topics. - **Language Skills:** You communicate fluently and confidently in English. ## Bonus Points (Nice-to-haves) - **Domain Knowledge:** Experience in revenue management or dynamic pricing (e.g., travel, mobility, eCommerce). - **Demand Understanding:** You know how seasonality, events, and lead times affect pricing. - **Modern Toolchain:** You are proficient in analytics engineering (dbt, Snowflake, Metabase) and know how to build a clean data foundation.