You develop and implement data science and machine learning solutions in football, working with a team to design KPIs and optimize processes while managing the entire machine learning workflow.
Anforderungen
- •Degree in Computer Science or related field
- •Solid knowledge of Python and machine learning libraries
- •Experience in developing and deploying ML models
- •Familiarity with AWS SageMaker
- •Experience in model design and validation
- •Excellent verbal and written English skills
Deine Aufgaben
- •Develop modern data science solutions in football.
- •Collaborate in an agile, cloud-based team.
- •Design new KPIs using statistical models.
- •Build models to automate and optimize processes.
- •Contribute ideas for new analytical products.
- •Manage the entire machine learning workflow.
Original Beschreibung
## Football Machine Learning Engineer
###### Permanent employee, Full-time ·Unterföhring,Hamburg
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##### Your mission
* Development of modern data science and machine learning solutions in football
* Working in an agile, cloud-based team of data scientists, developers, and product managers
* Designing new KPIs using statistical models and machine learning – e.g., for Bundesliga Match Facts
* Building innovative models to automate and optimize processes
* Contributing own ideas to the development of new analytical products
* Responsibility for the entire machine learning workflow – from data ingestion to deployment in production
##### Your profile
* Degree in Computer Science, Mathematics, Data Science, or a comparable field
* Solid knowledge of Python and common machine learning libraries (e.g., PyTorch and data processing libraries)
* Experience in developing, validating, and deploying ML models, ideally in production-ready environments
* Familiarity with cloud infrastructure, particularly AWS SageMaker
* Experience in model design/training as well as evaluation and validation on large datasets
* Excellent verbal and written English skills
##### Deine Aufgaben
* Entwicklung moderner Data-Science- und ML-Lösungen im Fußball
* Arbeiten in einem agilen, cloudbasierten Team aus Data Scientists, Entwicklern und Produktmanagern
* Entwicklung neuer KPIs mithilfe statistischer Modelle und ML – z. B. für Bundesliga Match Facts
* Aufbau innovativer Modelle zur Automatisierung und Optimierung von Prozessen
* Einbringen eigener Ideen zur Entwicklung neuer Analyseprodukte
* Verantwortung für den gesamten ML-Workflow – von Daten Ingestion bis Deployment in production
##### Dein Profil
* Abgeschlossenes Studium in Informatik, Mathematik, Data Science oder eine vergleichbare Ausbildung
* Fundierte Kenntnisse in Python und gängigen ML-Bibliotheken (z. B. PyTorch, weitere Datenbearbeitungs Bibliotheken)
* Erfahrung in der Entwicklung, Validierung und dem Deployment von ML-Modellen, idealerweise in produktionsnahen Umgebungen
* Vertraut im Umgang mit Cloud-Infrastruktur, insbesondere AWS SageMaker
* Erfahrung mit Modelldesign/-training und Evaluation & Validation auf großen Datensätzen
* Sehr gute Englischkenntnisse in Wort und Schrift