Intern in the DS-team of Sber's "Lend and Save" Department. Working with big data: building ML models, hypothesis testing, A/B tests, and implementing solutions into industrial operation.
Tasks:
- Work on pricing
- Uplift modeling
- Ranking tasks
- Building propensity models
- Look-a-like models
- Response models
- Working with regression targets
- Cluster and factor analysis
- Matching
- Development and implementation of solutions from idea to industrial operation, including source research, building data marts, and embedding models into the infrastructure
Requirements:
- Full-time student in the final years of university
- Good understanding of classical ML
- Knowledge of statistics and probability theory
- Good knowledge of Python/SQL/Bash/Spark
Conditions:
- Work in a modern office near Kutuzovskaya metro station
- Corporate gym and recreation areas
- More than 400 educational programs from SberUniversity
- Prime subscription with the possibility of sharing with three close people
- Reward for recommending friends to the Sber team
Skills: Python / SQL / Bash / Spark / ML / Transformers / A/B tests
