ML-Dynamic Pricing Engineer

2+ years of commercial experience in Data Science with a focus on Dynamic Pricing and Demand Forecasting tasks. Experience in e-commerce, retail, taxi or food technology will be a crucial plus.
A deep understanding of the elasticity of demand and mathematical approaches to price optimization.
Experience working with time series and forecasting demand on large amounts of data.
Strong command of Python, SQL and PySpark for preparing features and working with transactional logs.
Excellent knowledge of the theory and practice of A/B testing: the ability to design and analyze price experiments.
Understanding unit economics: the ability to clearly link technical metrics of models (MAPE, RMSE) with business metrics (revenue, EBITDA, average check, margin).

To develop and develop dynamic pricing algorithms (Surge Pricing) to optimize the balance of supply and demand (kitchen load, courier utilization).
Model the price elasticity of demand and predict customer behavior when the cost of products or shipping changes.
To build and output demand forecasting models (time series) in production, which form the basis of pricing decisions.
Conduct A/B tests of pricing strategies and evaluate their direct impact on revenue, marginality, and order volume.
Ensure the full lifecycle of ML pricing models (from R&D to monitoring in production) using MLOps tools (MLflow, Feature Store).

Work in a global company with ambitious goals and ambitious goals (we plan to multiply the growth of pizzerias and coffee shops by 2030).
A culture of freedom and responsibility. We appreciate those who are ready to make decisions and take responsibility for them.
Flexible format. You can work from home or office in Moscow./St. Petersburg/Almaty.
Transparent conditions. Competitive salary, opportunities for growth and development.
Paid tuition. Courses, conferences, specialized literature and co-financing of English in Skyeng.
Caring for employees. VMI from day one, including dentistry, and mental health support through Alter.