Description:

Work as a Senior Machine Learning Engineer in Pricing & Revenue, focusing on data-driven improvements for forecasting, pricing logics, and product insights.
Build analyses and models that demonstrate measurable impact in the product with clean evaluation and solid data foundation.

Requirements:

4+ years of experience in Data Science or Applied ML Engineering, ideally in a product or business context.
Strong SQL skills and a deep understanding of data quality, debugging, and consistent metrics.
Proficient in Python with clean code and traceable analyses; experience in product-related setups is a plus.
Understanding of bias/leakage awareness and ability to think in guardrails and offline vs. online scenarios.
Full ownership of tasks, pragmatic work style, reliability, and clear communication.
Entrepreneurial mindset and fluent in English.

Opportunity to take responsibility for the technical backbone of a million-portfolio.
Join a team aiming to elevate the technological foundation of the hospitality industry.

Skills