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dHired
English

Senior Data Scientist for Sport Stream

Published on Jul 08, 2021
Parimatch Tech

A Product company with office in Kyiv, Ukraine.

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Experience:
3-5 years
Job Type:
Full-Time
Remote
Specializations:
Data Engineering
Data Science & AI

What You Will Do Responsibilities

Participate in project architecture and design creation;
Develop algorithms to detect sport behavior patterns;
Draw up tools for validation of sports algorithms;
Form a strategic view and modeling roadmap;
Improvement and support of existing algorithms;
Prepare and analyze of statistical data of sports events;
Use different Data Science and Machine learning approaches for building recommendation, classification, clustering for company needs.


What You Should Bring
Must-have

Strong knowledge of ML (supervised, unsupervised, semi-supervised learning);
Strong knowledge of Python (pandas, scikit-learn, numpy and others);
Strong knowledge of SQL;
Technical English;
Knowledge sharing abilities.

Nice-to-have

Experience with NoSQL databases;
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.


What You Will Get Benefits

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



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