Data Science Intern/Part-time Student (m/f/d)

Farkas Kiss Endre legjobb állása Sportradar Austria

Bewerbung fur Fullstack Entwickler (M/F/D)

Levél szövege

Lieber Sportradar Austria!

Ich möchte mich bei Ihrem Unternehmen als Data Science Intern/Part-time Student (m/f/d) 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

Data Science Intern/Part-time Student (m/f/d)OVERVIEW We are looking for a highly motivated Data Science Intern/Part-time Student (m/f/d) with great communication skills who will work alongside a small team of talented and experienced analysts, use modern technology and methods, and continually push boundaries to further develop and expand our reporting suite. The ideal candidate should bring basic knowledge about analytics and a big passion and motivation for learning. You will have an excellent opportunity to join a growing team that is developing and managing Sportradar's digital advertising platform. Within the self-organized and agile analytics team, you will play an active role in developing Sportradar's client-facing advertising services that we are further driving with our cutting-edge technologies and highly motivated team members. This is a great internship opportunity for someone excited about analytics, particularly in machine learning. Would you like to join our ad:s tribe and get some practical experience along with your studies? Apply now! THE CHALLENGE Interpreting data to inform decisions and tell accurate stories to our advertisers/stakeholders. Evaluating existing data sources and related products on a regular basis, performing QA and health checks to ensure data integrity. Evaluation, Evolution & Implementation from concept to delivery using Machine Learning & AI to deliver projects which generate value to our end clients. Collaborating with sales, tech and product teams to design, implement and refine state-of-the-art digital dashboards. Helping Build & Scale the end-to-end process for Data Ingestion all the way through to end client reporting. Have a „get it done" attitude and deliver superb work repeatedly. YOUR PROFILE Required: Bachelor's degree in Computer Science, Physics, Mathematics, Software Engineering or similar Knowledge of at least 1 programming language (python, R, Java or similar) Understanding of basic AI / ML concepts Understanding of analytical processes, tools, methods Basic knowledge of SQL or other analytical languages Good English communication skills (verbal and written) Strong consumer focus, ownership, urgency, and drive Analytically thinking/Problem Solver Preferred: Familiarity with Python Understanding of AWS Toolset Experience with Data Visualization Tools OUR OFFER: Be part of a startup-like culture within a global corporation Become part of one of the fastest-growing businesses in the digital sports environment and help us scale our operations Be part of a highly motivated, innovative, and dynamic team with people from more than 20 nationalities in our office Education and training, like German and English courses and Sportradar eAcademy Exciting job field with the opportunity for personal development Home office and flexible working hours Tickets for sports events and concerts, as well as darts, table football, and table tennis for after-work sports activities in the office Team activities, like Happy Hours or marathons The minimum monthly salary for this position is according to the Collective Bargaining Agreement, overpayment will be considered depending on qualifications and working experience. Buckle up, hold on tight and get ready for an incredible adrenaline-rush throughout this exciting ride with us: #maketheteam and shape your future as well as ours! 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.