Senior Data Scientist - Predictive Modelling

About the role

Sportradar, a sports technology company at the intersection of sports, media and betting, is looking for a Senior Data Scientist in Vienna. Reporting to the Head of Quants, you will work closely with colleagues in Quants as well as product owners, developers and traders across the company. The department builds predictive models for pre-match and in-play betting markets, and publishes and maintains the Java libraries used for them.

Key responsibilities

• Learn how predictive models work in a betting context and build models independently
• Support the team in maintaining the codebase
• Analyse, evaluate and optimise existing predictive models as model co-owner
• Research new methods for future applications
• Clean, visualise, analyse and interpret data, then implement and test the models in Java

Required profile

• Master's degree or higher qualification in Data Science, Statistics, Mathematics, Software Engineering or a closely related field
• Experience in predictive modelling and data analysis techniques such as GLMs, time-series analysis, Bayesian statistics, MCMC and neural networks
• Very strong R or Python skills, strong coding and analytical abilities
• Fluent English, creative thinking, self-motivation and teamwork
• Preferred: object-oriented programming (preferably Java), GitLab, Jira and Confluence, and SQL

What we offer

• A collaborative environment with colleagues worldwide, in offices in Europe, Asia, North and South America
• A clear professional and personal development plan
• Flexible working model, generally office-first with four days in the office per week
• Salary according to the Collective Bargaining Agreement, with possible overpayment depending on qualifications and experience