ABOUT US 

Ad:s is a datadriven marketing and sponsorship solution designed to help deliver significant efficiency improvements across marketing investments. The team develops and provides fully customisable, purposebuilt proprietary tools and services tailored to the marketing needs of sportsbooks and publishers. Through a broad sales network, strong relationships, and extensive global infrastructure, the team also enables sponsorship opportunities for bookmakers. 
 
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. 

OUR OFFER 

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding.  
• 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 which welcome all participants.  
• Global Employee Assistance Programme.  
• Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).  
• Online training videos.  
• Flexible working hours.  

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation - both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. 

 
OUR RECRUITMENT 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.