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

happyhotel; Offenburg; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

happyhotel in Offenburg is looking for a Technical Lead in ML Engineering to take ownership of pricing and revenue models. You will establish standards, develop forecasting techniques, and ensure robust evaluation systems. The ideal candidate has over 5 years of relevant experience and strong Python and SQL skills. Fluent German is required, along with a pragmatic approach to ownership. Familiarity with tools like Snowflake and dbt is a plus. This role emphasizes measurable impact and high-quality outcomes.

Qualifikationen

• 5+ years relevant experience in ML Engineering, Data Science or Analytics.
• Demonstrable success in pricing, revenue, or forecasting.
• Deep understanding of metrics, evaluations, and guardrails.

Aufgaben

• Lead the entire lifecycle of pricing and revenue topics.
• Develop and optimize forecasting and pricing models.
• Manage time series, demand signals, and data sources.
• Build a robust measurement system for experiments.
• Establish ML engineering standards for quality.
• Ensure reliable operations through monitoring and retraining.
• Automate processes to improve efficiency.
• Design data models in the warehouse.
• Standardize dashboards for business KPIs.
• Prioritize requirements with stakeholders.

Kenntnisse

Machine Learning Engineering

Data Science

Analytics

Python

SQL

Fluent German

English Communication

Tools

Snowflake

dbt

Metabase

Jobbeschreibung

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 in German 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.