— Data Scientist experience from 2 years.
— Data Mining experience.
— excellent knowledge of higher mathematics, probability theory, mathematical and applied statistics.
— more than 2 years of experience with Python (statistical and ML packages).
— high-level knowledge of advanced machine learning algorithms and experience of their practical implementation into the product.
— experience with efficient search for patterns in data and feature engineering.
— understanding machine learning pipelines.
— deep knowledge SQL/NoSQL queries.
— knowledge of deep learning frameworks (PyTorch, Tensorflow, etc.).
— the ability to develop API and implant ready-made scoring models into production.
— work experience in PDL companies / banks.
— knowledge of English.
— Competitive pay level (depends on candidate level).
— Comfortable office at the city center
— Possibility to influence the development of the project
— Paid vacation(20 working days) and sick leaves(5 days)
— English courses
Functions and area of responsibility:
— creation of scoring models (segmentation of customers by the level of solvency)
— creation of anti-fraudulent models
— tasks related to computer vision (recognizing text in a document, comparing faces in a photo, etc.)
— creation of predictive models for marketing
— creation of predictive models for collection
— feature engineering (search for new data sources and patterns)
— building a data processing pipeline
— build deep learning models
— creation API for connecting scoring module with main decision system.
CashBerry — team of professionals in financial sector who is building online platform for credit services.
We are looking for Data Scientist, who will be a part of our Risk department.