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Senior Data Scientist for Risk Management Stream

Ops
Kyiv city
Full time
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Our product is a fraud-detection platform, specially designed for the betting business.

We started 2 years ago with a team created from scratch, dedicated processes and technology stack. Currently, we process, store and analyze over a billion events per day using ML and graph algorithms in real-time. We are going to reach two billion events during six to nine months adding more and more detailed data sources.

Unlike the majority of fraud-detection products available on the market, we are not wasting time on no-code/low-code and other marketing staff, focusing on our algorithms and business results instead.

As a part of the Data Science team of Risk Management Stream, you will work with challenging problems using a huge variety of data sources (bets, payments, site behavior data, etc.) detailed, enriched and collected for a long time.

You will have a direct impact on:

— Innovative solution for fraud detection;
— Real-time prediction;
— Data collection process;
— Strategic view and modelling roadmap.

Essential professional experience:

— Strong knowledge of Python (numpy, pandas, scikit-learn, etc.);
— Experience with big data technologies;
— Experience with at least one DL frameworks (Tensorflow, PyTorch);
— Experience in developing model from scratch (problem definition, data collection, feature engineering, model selection, validation, tuning, etc.);
— Deep understanding of classical ML Algorithms;
— Good knowledge of math and statistics;
— Good knowledge of PostgreSQL, MS SQL.

Desirable skills and personal features:

— Knowledge sharing abilities;
— High level of personal responsibility, readiness to commit on projects instead of tasks;
— Degree in Computer Science, Engineering, Mathematics or a related field.

We care of your:

Health

— Medical insurance/Sport compensation;
— Sport club participation (football, running, basketball or swimming clubs);
— 100% paid sick leaves;
— 20 working days of paid vacation.

Wealth

— 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).

Personal and professional growth

— 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.

Leisure time

— Corporate parties and events (Pub Quiz, Carquest, etc.);
— PM Foundation activities (social responsibility events);
— Weekly events aimed at culture, arts, soft skills development.

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