Position: Lead Data Scientist (sports predictive algorithms) for Sport Stream
Company: Parimatch Tech
Experience required: 3y
Category: Data Science
English level: intermediate
Published: 2021-12-01T00:00:00+02:00

We invite those who fired up to:

Work with stakeholders to identify problem zones and possible product improvements;
Mine and analyze data from internal and external sources;
Formalize problems based on data analyses;
Participate in development of sports predictive algorithms (stochastic and ML);
Draw up tools for validation of the algorithms.

Essential professional experience:

Probability theory and mathematical statistics;
ML (supervised, unsupervised, semi-supervised learning);
Python (pandas, scikit-learn, numpy and others);
Experience working with APIs, web scraping, and SQL/no-SQL databases;
Technical English;
Knowledge sharing abilities.

Desirable skills and personal features:

Knowledge of betting domain;
Experience with .NET;
Experience with message broker systems such as Kafka, RabbitMQ;
Software development background;
Experience with big data technologies;
Experience in math algorithms modeling;
Degree in applied math.

We care of your:
Health

Medical insurance/Sport compensation;
Sports 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 the critical situation);
Gifts for significant life events (marriage, childbirth).

Personal and professional growth

An 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.