— MSc or Ph.D. in Engineering, Statistics, Mathematics or related field;
— 1,5+ year working experience in data science;
— High level of proficiency in Python, R, programming;
— Experience with SQL, Excel;
— Experience with data visualization; data manipulation/data processing;
— Highly proficient in statistics;
— Close attention to detail, ability to work to very high standards.
— Good communicative skills and skills of work in the team;
— Experience with RDBMS (MSSQL/MySQL) and noSQL databases;
— Experience using docker;
— Familiarity with MapReduce and related Big Data technologies;
— Experience in turning Data Science ideas and algorithms into scalable products.
— Analyzing large datasets of high-frequency business data to test hypotheses and extract insights;
— Designing, developing, testing, and maintaining high-frequency business algorithms, and enhance existing ones;
— Exploring trading ideas by analyzing business data and business microstructure for patterns;
— Creating patterns for analyzing business data and client behavior;
— Creation of models ensemble for user classification;
— Contributing to libraries of analytical computations to support business data analysis and trading;
— Interaction with developers for an addition of new features to our platform;
— Using a variety of techniques including predictive modeling, recommendation engines, revenue management, conversion rate optimization, and site and user experience optimization.
If you join us, you will:
— Become the part of the friendly staff;
— Get the chance of and assistance in your professional and career growth;
— Work in the office with all comforts and rest zones;
— Get access to unlimited tea and coffee supplies, and also to tasty set meal;
— Be able to attend free English courses;
— Get the chance to go to the gym or do yoga without leaving the office;
— Be able to take part in various corporate events.
If you wish to become the part of our team, send your CV to: [email protected]