Senior Data Scientist

Senior Data Scientist

Sportradar

Vienna , Austria

THE CHALLENGE

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 selforganized and agile analytics team, you will play an active role in building and scaling data products that power clientfacing advertising services, working with cuttingedge 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 datadriven, intelligent, and scalable systems with a focus on quality, observability, and security.
• Evaluate and monitor existing data sources and audiencerelated 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 audiencefocused solutions, supporting ML and AI initiatives that create measurable value for clients.

ABOUT YOU

Required

• Minimum 3+ years of experience in Analytics Engineering, Data Engineering, or a related field.
• Excellent SQL and Python skills.
• Experience with Infrastructure as Code (Terraform).
• Strong proficiency in building ETL pipelines, ideally with PySpark.
• Solid experience in logical and physical data modelling for audience or behavioural datasets.
• Proficiency with Git or similar versioncontrol tools.
• Experience with cloudbased services, preferably AWS.
• 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

• Experience with datavisualisation tools and building stakeholderfacing dashboards.
• Experience in AdTech and audienceactivation ecosystems.
• Experience with ML technologies and production ML pipelines.
• Knowledge of testing strategies such as TDD.
• Experience with identity graphs, segmentation frameworks, or CDPs.
• Experience creating and maintaining CI/CD workflows.