• Skills: SQL, AWS, Machine Learning, E-commerce, Python, R, Snowflake
• Experiences: Senior
• Employments: Full-time

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.

Benefits:

• 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.