Senior/Lead Data Scientist
– Experience with the web (a large number of events);
– Successful cases of working with an impersonal audience (user profiling, clustering, look-a-like);
– Deep knowledge of the principles and basic algorithms of machine learning, model quality assessments;
– Experience in building and outputting models in production;
– Experience with online advertising;
– Working with Spark (PySpark).
– New office;
– English language courses with a native speaker;
– Flexible approach to the schedule. The main thing for us is the result and the involvement;
– Corporate participation in sports, eco- and social projects;
– Premium level health insurance package.
– Determination of user data to be used;
– Creation of a model for building user profiles;
– Audience clustering for ad personalization;
– Optimization of the conversion of displayed ads.