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
Support the team in maintaining the codebase
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
Experienced in predictive modelling, 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
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 in object-oriented programming, preferably Java
Experience with Gitlab, Jira & Confluence
Experience with SQL
OUR OFFER
A collaborative environment with colleagues from all over the world (Offices in Europe, Asia, North & South America).
Impactful Work: Contribute to the development of groundbreaking products that influence industries globally.
Ability to shape your own workday and career via a clearly defined professional and personal development plan.
We are a diverse and collaborative global team with a unique spirit, determined to achieve our goals with integrity and focus.
Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digitalsportsenvironment.
While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation-both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are generally an office-first business operating on a hybrid model, with team members working in the office four days a week to build relationships, exchange ideas, and grow together.
Additional Information The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience.
At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply
#J-18808-Ljbffr
Senior Data Scientist in Wien Arbeitgeber: Sportradar
Sportradar in Wien bietet eine dynamische Arbeitsumgebung, die Innovation und Teamarbeit fördert. Als Senior Data Engineer profitieren Sie von umfangreichen Wachstums- und Entwicklungsmöglichkeiten, während Sie an spannenden Projekten arbeiten, die echte Auswirkungen auf die Sportanalyse haben. Die Unternehmenskultur legt Wert auf Vielfalt und Zusammenarbeit, was es zu einem hervorragenden Arbeitgeber macht, der Ihnen die Möglichkeit gibt, Ihre Fähigkeiten in einem internationalen Umfeld weiterzuentwickeln.
