Description
We are engaged in the development and implementation of ML models on a vast B2C client base to improve the customer experience and enhance the efficiency of the Spasibo loyalty program. The main process is the formation of offers for categories with increased cashback.
Responsibilities
- Build ML models based on various data types: tabular, GEO, event sequences (clickstream, transactions, etc.)
- Write production code and deploy it to PRODUCTION
- Improve the model-building process, develop custom application modules for the team's development framework to increase DS productivity and improve code quality in an industrial environment
- Propose data-driven hypotheses/suggestions for launching new mechanics, as well as search for insights in the data.
Requirements
- Deep knowledge of classical ML and experience applying it to real business tasks. Understanding of main Deep Learning approaches
- Advanced SQL knowledge
- Excellent Python knowledge.
Will be a plus:
- Experience with A/B testing
- Experience solving ranking or optimization tasks
- Experience working with Pyspark, Greenplum.
Conditions
- Comfortable modern office near Kutuzovskaya metro station
- Work format - office
- Annual salary review, annual bonus
- Corporate gym and relaxation areas
- More than 400 educational programs from SberUniversity for professional and career development
- Extended voluntary health insurance, preferential insurance for family, and corporate pension program
- Flexible mortgage discount equal to 1/3 of the Central Bank's key rate
- Free subscription to SberPrime+, discounts on products from partner companies
- Referral bonus for recommending friends to the Sber team.
