Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 3


Led moderation solutions for several teams
Led development of payment antifraud detection model
Communicated with inner stakeholders (PMs, MKT leads, developers, etc.)
Prioritized tasks
Conducted technical consultations (python, complex SQL queries, GIT, Linux)
Developed ETL processes
Created data marts
Data QA (nulls, mismatch with source table, etc.)
Designed alerts for ETL processes, ML models
Third-party services integrations

Built traffic evaluation models for marketing campaigns
Developed revenue prediction model and churn prediction model
Clustered users, predicted their product lifecycle, predicted the volume of user-core
groups in future
Designed a recommendation system (intelligence ranking on the search page)
Built a “user averaging” framework (custom model for specific business)
Created “synthetic event” presented by statistic estimation of user quality, not the
binary conversion event
Designed marketing metrics
Implemented complex revenue attributions (caused by several products and inner
remarketing)
Gave lectures for a Genesis Analytics School
Was a hiring manager: interviewed employees, filled competence matrix, selected
technical tests and evaluated them.
Was engaged in interns onboarding
Want to work with 3+ members DS team OR become a very first Data Scientist/Data Enineer/Data Analytic in start-up