Description:

Work as a Senior Machine Learning Engineer in the Pricing & Revenue context, focusing on data-driven improvements for forecasting, pricing logic, and product insights.
Develop analyses and models that demonstrate measurable impact, collaborating closely with Product & Engineering.

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 sense for data quality, debugging, and consistent metrics.
Proficient in Python with clean code and transparent analyses; experience with product-oriented setups is a plus.
Understanding of bias/leakage-awareness and ability to think in guardrails and offline-vs-online scenarios.
Strong ownership of topics, pragmatic work style, reliability, and clear communication.
Fluent in English.

Opportunity to enhance dashboards and reports for model and business KPI transparency.
Drive reproducible workflows and automate analyses, contributing to impactful data-driven decisions.

Skills