Staff Machine Learning Engineer

📋 Job Overview

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.

🏢 About happyhotel

happyhotel is a company focused on leveraging machine learning to optimize pricing and revenue strategies.

🎯 The Role

You are responsible for the entire lifecycle of pricing and revenue topics—from hypothesis to implementation to measurable evaluation. Your focus: Clear business uplift.

✅ Key Responsibilities

• End-to-End Ownership: Responsible for the entire lifecycle of pricing and revenue topics.
• Smart Modeling: Develop and optimize forecasting and pricing models.
• Signal Expertise: Manage time series, demand signals, and heterogeneous data sources.
• Experimentation Framework: Build a robust measurement system and define criteria for rollout decisions.
• Engineering-Grade ML: Establish standards for backtesting, reproducibility, and versioning.
• Reliable Operations: Ensure operations through smart monitoring, drift detection, and retraining mechanisms.
• Automation & Scale: Automate high-leverage processes to increase throughput and quality.
• Data Foundation: Design data models directly in the warehouse as a basis for reliable metrics and features.
• Full Transparency: Standardize dashboards for business KPIs and ensure data quality.
• Stakeholder Sparring: Prioritize requirements with Product & Revenue and translate them into ML solutions.

📌 Required Qualifications

• Deep Experience: 5+ years relevant experience in ML Engineering, Data Science, or Analytics.
• Proven Impact: Demonstrable success in pricing, revenue, forecasting, or similar areas.
• Evaluation Pro: Think offline vs. online, recognize bias/leakage, and master robust metrics and guardrails.
• Tech Stack: Production-level Python and SQL skills.
• Startup DNA: Love the 80/20 principle, work pragmatically, and want full ownership for your topics.
• Language Skills: Fluent and confident in English.

⭐ Desirable Experience

• Domain Knowledge: Experience in revenue management or dynamic pricing.
• Demand Understanding: Knowledge of seasonality, events, and lead times affecting pricing.
• Modern Toolchain: Proficiency in analytics engineering (dbt, Snowflake, Metabase).

🎁 Benefits

Competitive salary and benefits package.

🛂 Visa & Eligibility

No information provided.