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Overview
Join Золотое Яблоко as a Data Scientist to develop ML models for content personalization and improve product recommendations.
Responsibilities
- •Develop ML models for content personalization on the website and mobile app.
- •Create algorithms for product shelf filling (complementary products, similar products).
- •Train and implement ranking models for search and catalog output.
- •Write ETL processes in PySpark for feature collection.
- •Implement effectiveness evaluation of recommendations.
Requirements
- •Practical experience in the full cycle of implementing recommendation algorithms (from building ETL processes to production via orchestrator or service).
- •Strong knowledge of approaches to solving classical ML tasks, Learning2Rank, and understanding of basic principles of neural network model training.
- •Experience with distributed data processing systems (e.g., Spark).
- •Solid foundation in probability theory and statistics.
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