Requirements:

• Proven experience in analyzing large amounts of data;

• Experience in solving customer behaviour prediction tasks;

• Knowledge of ML algorithms for regression, classification, clustering, and the ability to apply them to business problems;

• Solid experience in SQL;

• Extensive experience with Python for data processing, modeling, and visualization.;

• Deep understanding of statistics and probability theory;

• Passion to drive projects from R&D to business value.

Will be a plus:

• Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);

• Familiarity with BI tools (Metabase, Tableau);

• Experience with tools for managing ML workflows;

• Knowledge and experience with algorithms and data structures;

• Knowledge of OOP;

• • Understanding of containerization technologies (Docker); participation in Kaggle competitions.