Role overview
Required
What you'll work on
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.
- 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.
What we're looking for
- 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.
Interview process
Initial Conversation
A discussion with our Talent Acquisition Partner to learn more about your background, experience, and expectations.
Technical Interview
A conversation with members of the Data team focused on realworld problem solving, production considerations, and your past project work.
TakeHome Case Study
A practical business case reflecting typical challenges in this role, including analysis of a dataset and a short summary of your findings.
Case Presentation & Collaboration Session
You will present your solution, engage in a deeper discussion with the team, and participate in a collaborative paircoding exercise.
Final Conversation
A final discussion centred on team fit, collaboration style, and any remaining questions. An onsite visit may be included where relevant.