Description
Our team focuses on Data Science in the area of working with CLTV metrics for individual customers and products. We are looking for a talented Data Scientist who can lead the direction of research and implementation of models aimed at growing customer value.
Responsibilities
- Research and implement personalized approaches to customer interaction into industrial business processes
- Develop methodology for assessing customer CLTV and customer elasticity to product offerings
- Design e2e solutions: from hypotheses and research to production
- Effectively interact with stakeholders at the intersection of business, analytics, and IT
- Support and develop A/B experiments
- Form and develop the DS team.
Requirements
- Minimum 5 years of experience in the banking sector, with at least 1 year in a team lead role
- Practical experience building CLTV models, elasticity models
- Understand pricing, uplift, and elasticity tasks (preferably in the banking sector)
- Have deep understanding and practical experience applying classical machine learning (ML) methods and programming in Python
- Are an advanced expert in statistics and conducting A/B experiments
- Can communicate with business and defend solutions in a language understandable to business
- Have experience working with GreenPlum, PostgreSQL databases, as well as with Spark and PySpark frameworks.
Conditions
- Comfortable modern office near Kutuzovskaya metro station
- Work format - office
- Annual salary review, annual bonus
- Corporate gym and relaxation zones
- More than 400 educational programs from SberUniversity for professional and career development
- Extended VHI, preferential insurance for family, and corporate pension program
- Flexible mortgage discount equal to 1/3 of the Central Bank's key rate
- Free SberPrime+ subscription, discounts on products of partner companies
- Referral bonus for recommending friends to the Sber team.
