Job Details

ML Engineer (CVM) at Dodo Brands. Requires 2+ years of commercial experience in Data Science with a focus on operational tasks like demand forecasting and dynamic pricing. Python, SQL, PySpark proficiency needed. Remote/Hybrid.

Work on the full cycle of ML models that underpin Dodo's economy and customer experience. Develop and implement demand forecasting models for dynamic pricing (Surge Pricing) and delivery cost optimization. Build models to predict pizzeria operational load and accurate order delivery time (ETA). Actively participate in developing our MLOps culture: build production-ready pipelines and the full model lifecycle using tools like MLflow. Create and maintain infrastructure for a Feature Store, which will be a single source of data for both operational and CVM models. Develop and implement recommendation systems (personalized menu, promotions, upsell). Conduct A/B tests to verify hypotheses and evaluate the economic impact of implementing all models—both operational and recommendation.

2+ years of commercial experience in Data Science with a focus on solving operational tasks: building demand forecasting models (time series) and dynamic pricing. Proficient in Python, SQL, and PySpark for working with large datasets. Deep understanding of ML fundamentals and experience with large datasets. In-depth knowledge of A/B testing: from design and correct launch to interpreting results and assessing impact on business metrics. Understanding of unit economics: ability to understand how ML models affect key unit economics levers (delivery cost, capacity utilization, labor cost), and the ability to link technical model metrics (MAPE, RMSE) to final financial indicators (revenue, profit). Ability to choose optimal algorithms for solving specific tasks to achieve maximum benefit with minimal effort. Advantageous: experience in developing recommendation systems or other personalization models (CVM).