Lead Data Scientist (sports predictive algorithms) for Sport Stream Offline

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.