Position: Data Scientist for Risk Management Stream
Company: Lumenity
Category: Data Science
Experience required: 3y

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, bowling championships, etc.);
- PM Foundation activities (social responsibility events);
- Weekly events aimed at culture, arts, soft skills development