Senior Machine Learning Engineer (m/f/d)
Core
Develop and optimize forecasting and pricing models, define features and labels, and build reproducible ML workflows to drive data-driven decision logics in the Pricing & Revenue context.
Role type
Senior Machine Learning Engineer (Pricing & Revenue)
Builds
Forecasting models, pricing logic, decision support systems, and data visibility dashboards
Domain
SaaS / Enterprise Software / Revenue Management
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, time series analysis, feature engineering, backtesting, A/B testing, data quality debugging, version control, pipeline automation
Preferred skills
revenue management, dynamic pricing, seasonality modeling, analytics engineering (dbt), data warehousing (Snowflake), MLOps, cloud infrastructure (AWS)
Technologies
Python, SQL, dbt, Snowflake, AWS
Responsibilities
Develop and optimize forecasting and pricing models; define features and labels while preventing leakage; implement robust evaluation via backtesting and A/B logic; build reproducible ML workflows and automated pipelines; enhance dashboards for model and business KPI transparency
Seniority
Senior, hands-on IC