TL;DR
Data Scientist (Classic ML): Building and implementing realtime models for personalized offers of additional tariff packages, optimizing conversion of offers, and predicting subscriber behavior based on streaming data. Focus on full cycle ML product development, from data collection to A/B testing and deployment.
Location: Remote
Компания
No company description provided.
Что делать
- Build and implement realtime models for personalized tariff packages.
- Optimize offer conversion through precise timing and relevant communication channels.
- Predict subscriber behavior based on streaming data.
- Manage the full ML product development cycle from data collection to A/B testing and deployment.
- Monitor the quality of models in production.
Требования
- Relevant work experience of 3+ years.
- Strong knowledge of ML algorithms and their practical application.
- Excellent command of Python and ML libraries.
- Experience developing production-ready ML solutions (preferably with MLflow, Airflow).
- Understanding of A/B testing principles, statistical significance, and business impact metrics.
- Ability to work with large tabular data (Hive, Spark) and write complex SQL queries.
- Completed machine learning projects with measurable business impact.
Хорошо, если есть
- Experience with online learning.
- Experience with streaming data.
- Experience in telecom.
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