Data Scientist

Farkas Kiss Endre legjobb állása Sportradar

Bewerbung fur Senior Software Engineer - Live Channel Products (m/f/d)

Levél szövege

Lieber Sportradar!

Ich möchte mich bei Ihrem Unternehmen als Data Scientist bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Company Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description
Reporting to the Head of Quants you will be working closely with your colleagues in Quants but also various product owners, developers and traders company wide. Our department is responsible for creating predictive models for both pre-match and in-play betting markets in various sports. This typically requires cleaning up, visualizing, analyzing and interpreting relevant data, as well as implementing the created models in Java and testing them. Publishing and maintaining these Java libraries is also one of our responsibilities. Furthermore, we are providing various data analysis or generally math related tasks on demand.
THE CHALLENGE
Learn how predictive models look like in a betting context and build models on your own, focusing on electronic sports
Support the team in maintaining the codebase
Analyze/evaluate/optimize existing predictive models as model co-owner
Research new methods for future applications
YOUR PROFILE
Required:
Master’s degree or equivalent/higher qualification in one of the following disciplines: Data Science, Statistics, Mathematics, Software Engineering or a closely related field
Experience in predictive modeling, with a deep understanding of data analysis and modelling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc.
Very strong skills in R or python
Experience in object-oriented programming (preferably Java)
Advanced coding and analytical skills
Strong communication skills, fluency in English
Creative thinking, keen to further refine systems and processes
Highly self-motivated, leading by example and enthusiasm
Being a team player, with the ability to work with new teams immediately
Strong interpersonal skills
Preferred:
Experience with Gitlab, Jira & Confluence
Experience with SQL

Additional Information
Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences