Staff Machine Learning Engineer - Pricing & Revenue (m/f/d)
Core
Technical leadership for end-to-end pricing and revenue machine learning, focusing on forecasting, dynamic pricing, and measurable business uplift.
Role type
Staff Machine Learning Engineer (Pricing & Revenue)
Builds
Production-grade forecasting and pricing models, robust experimentation frameworks, and reliable ML operations.
Domain
Revenue management, dynamic pricing, and financial forecasting.
Deliverable
production ML models
Required skills
Python, SQL, time series analysis, A/B testing design, drift detection, data modeling, feature engineering, backtesting, reproducibility standards
Preferred skills
Revenue management domain knowledge, dynamic pricing experience, analytics engineering (dbt, Snowflake, Metabase)
Technologies
Python, SQL, Snowflake, dbt, Metabase
Responsibilities
Define and own the full lifecycle of pricing/revenue ML from hypothesis to implementation; develop and optimize forecasting and pricing models; manage time series and demand signals; build robust experimentation frameworks with holdouts and guardrails; establish engineering-grade standards for backtesting and versioning; ensure reliable operations via monitoring and retraining; automate high-leverage processes; design data models in the warehouse; standardize dashboards for business KPIs; collaborate with Product and Revenue stakeholders to translate requirements into ML solutions.
Seniority
Staff, technical leadership with end-to-end ownership