Senior Data Scientist for FairPlay Team

Kyiv, Kyiv city, Ukraine

Full Time
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Posted 5 days ago

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 6-9 month horizon 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 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.


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:

  • 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.


Desirable skills and personal features:

  • 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.


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, bowling championships, etc.);
  • PM Foundation activities (social responsibility events);
  • Weekly events aimed at culture, arts, soft skills development
Job tags: Big Data Engineering Marketing ML NumPy Pandas Python PyTorch Scikit-Learn SQL TensorFlow