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X5 Tech is looking for an Intern Data Scientist to join the personalization and CVM team. The role involves analyzing customer behavior data and developing ML models.
X5 Tech is looking for an Intern Data Scientist to join the personalization and CVM team. The role involves analyzing customer behavior data and developing ML models.
Responsibilities
- Explore large volumes of customer behavior data and find patterns to solve business problems
- Develop and improve ML models for predicting churn and user response
- Solve uplift modeling tasks and select optimal impacts on users
- Select personal products, categories, discounts, thresholds, and promo mechanics
- Generate and test hypotheses, participate in the preparation and analysis of A/B tests
- Evaluate model quality not only by ML metrics but also by their impact on business indicators
- Participate in the development of internal ML tools and frameworks of the team
- Participate in preparing models for industrial launch and their further development
Requirements
- Studying in the senior years of undergraduate, in master's, or recently graduated in a technical specialty
- Good knowledge of Python and ability to write clear and structured code
- Understanding of machine learning basics and principles of classical ML algorithms
- Ability to work with data and knowledge of SQL
- Understanding of basic mathematical statistics, probability theory, and hypothesis testing
- Understanding of A/B testing principles and evaluation of experiment results
- Ability to independently tackle new tasks, formulate hypotheses, and test them on data
- Interest in applying machine learning to solve real business problems
- Plus: Familiarity with PySpark and understanding of distributed data processing principles
- Experience with PyTorch or other deep learning libraries
- Familiarity with uplift modeling, recommendation systems, or personalization tasks
- Experience participating in ML projects, competitions, research, or educational projects
- Familiarity with Airflow, Docker, Kubernetes, Grafana, MLflow
- Understanding of the ML model lifecycle and the process of deploying models into production
Conditions
- Full-time employment
- Schedule: 5/2
- Remote work
✓ Direct apply: you message the hiring person. No ATS.