Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle interpretierst du Daten, entwickelst skalierbare Modelle und baust fortschrittliche Dashboards. Zudem arbeitest du eng mit verschiedenen Teams zusammen, um datengestützte Lösungen für die Audience-Strategie zu gestalten.
Job Technologien
Deine Rolle im Team
We are looking for a highly skilled Senior Data Scientist (m/f/d) with excellent communication skills who will work alongside a team of talented analysts and engineers, using modern technologies and methods to further develop and expand our Audience capabilities and reporting suite.
You will support stakeholders as a strategic compass - helping them navigate audience growth, segmentation, activation, and performance through actionable insights.
You will join a growing team shaping Sportradar’s digital advertising platform, with a strong focus on Audience strategy and expansion.
Operating within a self-organized and agile analytics team, you will play an active role in building and scaling data products that power client-facing advertising services, working with cutting-edge technologies and highly motivated colleagues.
Key Responsibilities:
- Interpret audience and campaign data to guide strategic decisions and deliver clear, compelling insights for advertisers and stakeholders.
- Design, build, and maintain scalable audience data models supporting segmentation, activation, and measurement use cases.
- Participate in the development of data-driven, intelligent, and scalable systems with a focus on quality, observability, and security.
- Evaluate and monitor existing data sources and audience-related products, ensuring data integrity and reliability through regular QA checks.
- Collaborate with sales, tech, product, and ML teams to design, implement, and refine advanced audience dashboards and activation frameworks.
- Drive evaluation, evolution, and delivery of audience-focused solutions, supporting ML and AI initiatives that create measurable value for clients.
Unsere Erwartungen an dich
Qualifikationen
Required:
- Excellent SQL and Python skills.
- Strong proficiency in building ETL pipelines, ideally with PySpark.
- Proficiency with Git or similar version-control tools.
- High attention to detail and strong commitment to data quality.
- Strong communication skills and the ability to partner effectively with stakeholders.
- Fluent in English.
Preferred:
- Knowledge of testing strategies such as TDD.
Erfahrung
- Minimum 3+ years of experience in Analytics Engineering, Data Engineering, or a related field.
- Experience with Infrastructure as Code (Terraform).
- Solid experience in logical and physical data modelling for audience or behavioural datasets.
- Experience with cloud-based services, preferably AWS.
- Experience with data-visualisation tools and building stakeholder-facing dashboards.
- Experience in AdTech and audience-activation ecosystems.
- Experience with ML technologies and production ML pipelines.
- Experience with identity graphs, segmentation frameworks, or CDPs.
- Experience creating and maintaining CI/CD workflows.
Benefits
Gesundheit, Fitness & Fun
- 🏋🏿♂️Fitness Angebote
- 👨🏻🎓Paten- & Mentor- Programm
- 👩⚕️Betriebsarzt
- ⚽️Tischkicker o. Ä.
- 🚲Fahrradabstellplatz
- 🎳Team Events
Work-Life-Integration
Mehr Netto
Essen & Trinken
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Sportradar Media Services GmbH
Leonding, Wien, Gera, Bremen
Die Sportradar-Gruppe ist eine internationale Organisation, die mehr als 1.900 Mitarbeiter an mehr als 30 Standorten weltweit beschäftigt (u.a. in Ljubljana, Minneapolis, München, Oslo, Trondheim und Warschau). Wir nehmen eine führende Position im Bereich der Schnittstelle zwischen Sport-, Medien- und Wettbranche ein und betreiben auch LAOLA1.at und LAOLA1.tv – Österreichs größte Sportnetzwerke. Trotz vollem Einsatz kommt bei uns der Spaß nicht zu kurz - wir legen großen Wert auf Teamgeist!
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2001
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Werbung, Marketing, PR, Sport, Freizeit, Medien, Verlagswesen, Internet, IT, Telekom
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