Senior ML engineer (CVM)

Hello! We are Dodo Brands, an international company developing 2 brands: Dodo Pizza and Drinkit. We develop a mobile app and website for ordering pizza. In addition, we have our own information system, Dodo IS, which helps pizzamakers prepare orders, couriers deliver hot pizza, and managers on duty and supervisors see how efficient the processes are in pizzerias and coffee shops.

Our company is founded on the principles of radical openness and trust. At Dodo Brands, everyone becomes an entrepreneur within their role and can truly create and change. Openness helps us develop long-term partnerships with clients, employees, and franchisees, based on mutual trust and the win-win principle.

Many teams work on our mobile app, including the AI personalization lab team. We are developing personalization, which forms the basis of that "wow" digital experience. With each new feature, we bring our product closer to our client, learn more about them, and build long-term relationships, thereby gaining loyalty.

AI solutions are part of our Data Office, which works side-by-side with data analysts and product development teams. The ML team in all of Dodo currently consists of 12 people. For working with data and models, we have deployed our own unified data platform, which serves as the foundation for all analytics and ML in the company.

Historically, our ML tasks have been focused on CVM and the development of individual models for specific product features. We are now transitioning to building a "dynamic marketing" system.

At its core are common fundamental models that predict key operational indicators: pizzeria load, delivery cost, and time. The predictions of these models become rich features for the CVM layer. This will allow us to make more complex decisions: for example, to offer a discount, considering not only the customer's lifetime value (LTV) but also the current kitchen load.

It is precisely for building this fundamental layer of operational models, which will become the "heart" for future CVM initiatives, that we are looking for a strong specialist.

we expect

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

you will

• 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 systems;
• Build models to predict pizzeria operational load and accurate order delivery time (ETA);
• Actively participate in the development of our MLOps culture: build production-ready pipelines and the full lifecycle of models using tools like MLflow;
• Create and maintain infrastructure for a Feature Store, which will become a single source of data for both operational and CVM models;
• Develop and implement recommendation systems (personalized menu, promotions, upsell);