Description
We are looking for data researchers who are ready to dive into interesting projects and collaborate effectively within a multi-regional team of professionals. If you enjoy working with large volumes of data, can quickly find solutions to complex analytical problems, and are interested in advancing your career — this position is perfect for you!
We expect you to:
- be passionate about data science and skilled in data analysis
- know econometrics and machine learning methods
- know Python at an advanced level
- be able to solve non-standard tasks independently.
The first stage of selection for this vacancy is a conversation with an AI recruiter. After applying, you will receive an invitation via email to take a preliminary interview with GigaRecruiter on Telegram. The dialogue will take about 10 minutes. Its goal is to clarify missing details and expedite the review of your application.
GigaRecruiter is just starting its journey, so we ask for your understanding. Your experience and participation will help make it convenient and useful!
Responsibilities
What you will do:
- develop models for forecasting customer behavior for the Bank's products (in Python)
- conduct NPV calculations for the Bank's products based on forecast models
- conduct A/B testing (evaluation of treatment effect). Develop rules for conducting pilot projects
- participate in the development and implementation of methodology for calculating CLTV (Customer Lifetime Value) for retail customers
- work with databases. Process results using Apache Spark.
Requirements
We expect you to have:
- relevant higher education in finance, economics and/or mathematics
- strong knowledge in mathematics / econometrics and statistics
- work experience in the field of data science
- experience with Python, Hadoop, Apache Spark
- knowledge of English sufficient to read articles on econometrics and machine learning in foreign sources.
- knowledge of corporate finance
- experience in using GigaChat, Kandinsky, and similar tools in products, skills in creating and using AI agents.
Conditions
We offer:
- stable salary and social support for employees
- official employment from day one
- modern office in the city center (Kostina St., 6)
- extended corporate health insurance from day one and preferential insurance for close relatives.
- corporate training at Sber's Virtual School, regular internal and external meetups
- free SberPrime+ subscription and discounts on Sber ecosystem products
- corporate pension program
- flexible discount on mortgage loans, equal to 1/3 of the Central Bank's key rate.
