at Sportradar
Full TimeWe’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.
We're currently looking for a Senior Data Scientist to join our Innovation team on working brand-new products in Sportradar’s portfolio.
In the Innovation team we launch, develop, validate, and lead new product ideas using cutting-edge technologies in areas such as computer vision, machine learning, deep learning, data science, and beyond.
THE CHALLENGE:
● Experiments with predictive models and improvements of the current approaches
● Collecting, processing, cleansing, and validating the integrity of data to be used for analysis
● Leading the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions
● Managing data science projects, ensuring they meet business requirements and are delivered on time
● Collaboration with cross-functional teams to understand business challenges and objectives
YOUR PROFILE:
● 4+ years of professional experience in the development of ML products
● Experience in one of the following fields: stock market analysis/high-frequency trading/sports events/generic forecasting
● Good knowledge of Python, and experience with production-quality code
● Experience with modern Gradient Boosting or Deep Learning based approaches for probability analysis
● Experience in building predictive models using tabular data with complex feature engineering
● Proven experience of end-to-end full software development life cycle from Proof of Concept to a reliable service running in the cloud or on the premise
Desirable:
● Experience with the following libraries: XGBoost/CatBoost, PyTorch
● Experience with MLOps tools: ClearML
● Building & maintaining CI/CD pipelines (e.g. GitHub actions).
● Experience working with cloud services, data pipelines, and/or distributed ML (e.g. using Docker, Kubernetes, etc.)
OUR OFFER:
● Official employment with all the associated benefits;
● Stock options, performance-related bonuses, learning programs, and other perks;
● Flexible work schedule, adaptable processes;
● Working in a small, dynamic team, where you will have the opportunity to propose and implement your vision while gaining new experiences;
Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences
