This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a Data Scientist in Sportradar's AI unit, you will work withing an established, high performing team of experts on the design, development and deployment of predictive models and algorithms powering Spotradar’s products. You will leverage Sportradar's extensive sports datasets, betting transaction data and user interaction data collected through Sportradar's products and services reaching millions of end-users across the globe. The position will be focused on the development of AI and advanced analytics solutions for sportsbook risk management and liquidity driven odds trading, collaborating closely with product owners and technical leads in our Managed Trading Services and Odds Services product domains.
Job Responsibility:
Analyse and explore data using statistical analysis tools and scripting
Develop machine learning or statistical models for use in our sportsbook risk management and odds trading products and services
Rigorously validate methods, models, algorithms and hypotheses using back-testing on historical data and/or simulations
Bring models into production leveraging our AI platform, maintaining ownership of the AI solution throughout the model development lifecycle, from modelling to production deployment, monitoring and continuous model improvement
Design and implement novel methods for data analysis, tailored to our sports-related application domains and propose new ways of using data to improve our products and services
Present ideas and solutions to software developers and business stakeholders in a clear and understandable way
Requirements:
Knowledgeable in machine learning and statistics
Strong programming skills and software development experience needed to productize low latency streaming analytics solutions
Experience in data science, statistical modelling, applied mathematics and/or software engineering
Profficiency with advanced querying of large analytical databases using SQL
Programming experience is a must
Experience with Python, R or similar statistical and/or machine learning software/toolkits
Bachelor of Science in Mathematics / Statistics, Computer Science / Engineering, or related field
equivalent experience acceptable
Fluent in English (written and spoken)
Autonomous, rigorous, creative and a team player
Nice to have:
Experience with risk management and portfolio optimization in financial, gaming or sports betting contexts
Experience working in Java
Hands-on experience with real-time streaming analytics frameworks such as Apache Flink and streaming technologies such as Apache Kafka
Experience working with Mac/Linux environments
What we offer:
A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding
Flexibility to manage your workday and tasks with autonomy
A balance of structure and autonomy to tackle your daily tasks
Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
Global Employee Assistance Programme
Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience)