As a Data Scientist at Sportradar, your daily job will be to extract valuable, actionable insights from data and develop data-driven predictive models and algorithms aimed at improving our products and services. You will explore large collections of sports data collected by Sportradar, as well as data related to the usage of our products and services, reaching millions of end-users across the globe. You will work closely with product owners and technical leads in our sports betting, sports integrity and audiovisual product verticals.
The successful candidate will be knowledgeable in statistics and machine learning, be comfortable working with big datasets, will understand methods for rigid validation of results, and master different statistical analysis tools and scripting to develop and validate models and data analysis ideas.
The immediate opportunity for this position is to join our Insights and Analytics team to generate in the moment personalize insights as scale that engage and captivate fans on Live Broadcast, OTT, and more.
Analyse and explore data using statistical analysis tools and scripting
Develop machine learning or statistical predictive models for use in our products and services
Rigorously validate methods, models, algorithms and hypotheses using back-testing on historical data and/or simulations
Design and implement novel methods for data analysis, tailored to our sports-related application domains
Propose new ways of using data to improve our products and services
Work closely with product owners and technical leads in integrity, audiovisual and live sports data product verticals
Present ideas and solutions to software developers and business stakeholders in a clear and understandable way
Demonstrated competency in the following areas: machine learning and/or statistics, efficiently working with big data, statistical validation of results
3+ years of experience with Python, R or similar statistical and/or machine learning software/toolkits
Programming experience is a must
Experience working with Mac/Linux environments is a plus
Bachelor of Science in Mathematics / Statistics, Computer Science / Engineering, or related field; equivalent experience acceptable
Competitive salary and benefits.
Work in an international team collaborating with colleagues from all over the world.
Opportunity to work and develop in a dynamic Tech environment within an inspiring and fast-growing company.
A challenging but rewarding and fun environment.Apply for this job