Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable data models to support audience segmentation and activation, conduct data analyses for strategic insights, and design advanced dashboards for stakeholder engagement.
Job Technologies
Your role in the 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.
- 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Excellent SQL and Python skills.
- Starke Kompetenz im Aufbau von ETL-Pipelines, idealerweise mit 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.
- Knowledge of testing strategies such as TDD.
Experience
- 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.
This text has been machine translated. Show original
What we offer
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia, and the US), including various social events and team-building activities.
- 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.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
- 🏋🏿♂️Fitness Offers
- 👨🏻🎓Mentor Program
- 👩⚕️Company Doctor
- ⚽️Tabletop Soccer, etc.
- 🚲Bicycle Parking Space
- 🎳Team Events
Work-Life-Integration
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Sportradar Media Services GmbH
Leonding, Wien, Gera, Bremen
At Sportradar, we have more than 1,900 employees working at more than 30 locations worldwide (including Ljubljana, Minneapolis, Munich, Oslo, Trondheim and Warsaw). We occupy a unique position at the intersection of sport, media and gaming industries. In addition to our core business operations we also operate LAOLA1.at and LAOLA1.tv – Austria's largest sports networks. Despite our full dedication to work , fun and teamwork are never far from us.
Description
- Company Size
- 250+ Employees
- Founding year
- 2001
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Sports, Leisure, Media, Publishing, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)4.0
Engineering
3.6Career Growth
3.8Culture
4.3Workingconditions
4.3
Senior Data Scientist
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
