Our product is a fraud-detection platform, specially designed for betting business. We started 1.5 years ago with a team created from scratch, dedicated processes and technology stack.
Currently we process, store and analyze over half a billion events per day using ML and graph algorithms in real-time. We are going to reach two billion events in a
As a part of Data Science team you will work with challenging problems using a huge variety of data sources (bets, payments, site behaviour data, etc.) detailed, enriched and collected for a long time.
— Innovative solution for fraud detection;
— Real-time prediction;
— Data collection process;
— Strategic view and modelling roadmap.
— Good knowledge of math and statistics;
— Developing model from scratch (problem definition, data collection, feature engineering, model selection, validation, tuning, etc.);
— Deep understanding of classical ML Algorithms;
— Strong knowledge of Python (numpy, pandas, scikit-learn, etc.);
— Good knowledge of PostgreSQL, MS SQL, ClickHouse;
— High level of personal responsibility, readiness to commit on projects instead of tasks;
— Knowledge sharing abilities.
— Experience with at least one DL frameworks (Tensorflow, PyTorch);
— Programming background;
— Experience with big data technologies;
— Degree in Computer Science, Engineering, Mathematics or a related field.
— Medical insurance/Sport compensation;
— Sport club participation (football, running, basketball or swimming clubs);
— 100% paid sick leaves;
— 20 working days of paid vacation.
— Competitive salary and сonstant encouragement for your efforts and contribution;
— Bonuses according to company’s policy;
— Welfare (financial support in critical situations);
— Gifts for significant life events (marriage, childbirth).
— Individual annual training budget with an opportunity to visit paid conferences, training sessions, workshops, etc.;
— Free corporate library;
— Opportunity to visit our non-stop internal meetups: open talks, IT Pump, etc. as a participant or a speaker and exchange knowledge;
— A world-class team of T-shaped skilled professionals that share knowledge and support each other.
— Corporate parties and events (Pub Quiz, Carquest, bowling championships, etc.);
— PM Foundation activities (social responsibility events);
— Weekly events aimed at culture, arts, soft skills development.