Senior Data Scientist

Sportradar AG; Wien; Hybrid; EUR 70.000 - 95.000; Vollzeit

Zusammenfassung

Sportradar AG in Vienna is seeking a quantitative data scientist to develop predictive models for betting markets, clean and interpret data, and implement models in Java. You will publish and maintain Java libraries and collaborate with quants, product owners, developers and traders company-wide.

The role requires a Master’s in data science or related field, strong modelling skills (GLMs, time-series, Bayesian methods, neural nets), and fluency in English.

Qualifikationen

• Master’s degree in Data Science or related field.
• Proven experience in predictive modelling and data analysis.
• Strong coding skills in Python or R and experience with Java.

Aufgaben

• Learn how predictive models look like in a betting context and build models independently.
• Support the team in maintaining the codebase and publishing Java libraries.
• Research new methods for future applications and contribute to data-driven decision making.
• Collaborate with quants, product owners, developers and traders across the company.

Kenntnisse

Predictive modelling

R/Python

Advanced coding

English fluency

Team collaboration

Self-motivation

Creative thinking

Communication

Ausbildung

Master’s degree in Data Science or related field

Tools

Java

GitLab

Jira

Confluence

SQL

Jobbeschreibung

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.