Staff Machine Learning Engineer - Pricing & Revenue (m/w/d)
Core
End-to-end ownership of Pricing and Revenue machine learning topics, focusing on measurable business uplift through forecasting and pricing models.
Role type
Staff Machine Learning Engineer (Pricing & Revenue)
Builds
Production forecasting and pricing models, experiment frameworks, and data foundations for revenue systems.
Domain
Revenue Management, Dynamic Pricing, Forecasting
Deliverable
production ML models
Required skills
Python, SQL, Time-series analysis, Feature engineering, A/B testing design, Model monitoring, Data modeling, Stakeholder management
Preferred skills
Revenue Management domain knowledge, Dynamic Pricing experience, Analytics Engineering (dbt, Snowflake, Metabase)
Technologies
Python, SQL, Snowflake, dbt, Metabase
Responsibilities
Develop and optimize forecasting and pricing models; Build robust experiment frameworks with holdouts and guardrails; Establish engineering-grade standards for backtesting and versioning; Ensure reliable operations through monitoring and drift detection; Design data models in the warehouse for reliable metrics; Standardize dashboards for business KPIs.
Seniority
Staff, technical leadership with no people management