Staff Machine Learning Engineer – Pricing & Revenue

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🕒 February 26

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happyhotel

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

☁️ SaaS

🤝 B2B

💰 Seed on 2023-11

SaaS • B2B

happyhotel is a SaaS revenue-management platform for hotels and other accommodations that automates dynamic room pricing using algorithms that ingest hotel data, competitor rates, market demand, events and booking curves. It integrates with property management systems, offers an autopilot for 24/7 price optimization, reporting and customizable pricing rules, and is sold to hoteliers (hostels, city hotels, holiday hotels, chains and serviced apartments) to increase revenue and reduce manual pricing work.

📋 Description

• Technical leadership and end-to-end ownership of pricing and revenue ML initiatives • Develop and optimize forecasting and pricing models • Combine time series, demand signals, and heterogeneous data sources • Build a robust measurement system and define clear rollout criteria • Establish standards for backtesting, reproducibility, and versioning • Ensure operational reliability through monitoring, drift detection, and retraining mechanisms • Automate high-impact processes to improve throughput and quality • Design data models in the data warehouse to serve as the basis for reliable metrics • Standardize dashboards for business KPIs • Prioritize requirements together with Product and Revenue teams

🎯 Requirements

• 5+ years of relevant experience in ML engineering, data science, or analytics • Proven success in pricing, revenue, forecasting, or similar revenue/monetization systems • Mindset for offline vs. online evaluation and the ability to detect bias and leakage • Production-grade Python and SQL skills • Pragmatic working style and willingness to take full ownership of projects • Fluent communication in German and strong English skills

🏖️ Benefits

• No formal managerial/disciplinary responsibility • Full transparency