Senior Data Scientist Job at Sportradar (Vienna)

Job Description

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.

Job Responsibility

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

Requirements

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 modeling for audience or behavioral datasets
Proficiency with Git or similar version-control tools
Experience with cloud-based 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

Nice to have

Experience with data-visualization tools and building stakeholder-facing dashboards
Experience in AdTech and audience-activation 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

What we offer

A collaborative environment with colleagues from all over the world including various social events and team-building
Flexibility to manage your workday and tasks with autonomy
A balance of structure and autonomy to tackle your daily tasks
Vibrant and inclusive community, including Women in Tech and Pride groups
Global Employee Assistance Programme
Calm and Reulay app
Online training videos
Flexible working hours

Sportradar - All Job Offers