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Senior Data Scientist(m/w/x)
Audience segmentation and ETL pipeline construction for sports media and betting analytics. Proficiency in Infrastructure as Code and logical data modeling required. Flexible work hours, high task autonomy.
Requirements
- 3+ years experience in Analytics or Data Engineering
- Excellent SQL and Python skills
- Experience with Infrastructure as Code
- Proficiency in building ETL pipelines
- Experience in logical and physical data modelling
- Proficiency with Git or version control tools
- Experience with cloud-based services
- Attention to detail and data quality commitment
- Strong communication and stakeholder partnering skills
- Fluency in English
- Experience with data-visualisation and dashboards
- Experience in AdTech and audience-activation ecosystems
- Experience with ML technologies and pipelines
- Knowledge of testing strategies like TDD
- Experience with identity graphs, segmentation, or CDPs
- Experience creating and maintaining CI/CD workflows
- Willingness to learn and grow
Tasks
- Collaborate with talented analysts and engineers
- Develop and expand audience capabilities
- Expand the reporting suite
- Support stakeholders as a strategic compass
- Navigate audience growth and segmentation
- Manage audience activation and performance
- Deliver actionable insights to stakeholders
- Shape the digital advertising platform
- Build and scale data products
- Power client-facing advertising services
- Interpret audience and campaign data
- Guide strategic decisions for advertisers
- Deliver clear and compelling insights
- Design and build scalable audience data models
- Maintain data models for segmentation and activation
- Support measurement use cases
- Develop data-driven and intelligent systems
- Build scalable systems focused on quality
- Ensure system observability and security
- Evaluate and monitor existing data sources
- Monitor audience-related products
- Perform regular QA checks for data integrity
- Collaborate with sales, tech, and product teams
- Work with ML teams on audience frameworks
- Design and implement advanced audience dashboards
- Refine audience activation frameworks
- Drive evaluation and delivery of audience solutions
- Support ML and AI initiatives
- Create measurable value for clients
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Terraform
- PySpark
- Git
- AWS
Benefits
Informal Culture
- Collaborative international environment
- Vibrant and inclusive community
Team Events
- Social events and teambuilding
Flexible Working
- Flexible work hours
Purpose-Driven Work
- Autonomy in task management
Other Benefits
- Women in Tech group
- Pride group
Mental Health Support
- Global Employee Assistance Programme
- Calm and Reulay apps
Learning & Development
- Online training videos
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Senior Data Scientist(m/w/x)
Audience segmentation and ETL pipeline construction for sports media and betting analytics. Proficiency in Infrastructure as Code and logical data modeling required. Flexible work hours, high task autonomy.
Requirements
- 3+ years experience in Analytics or Data Engineering
- Excellent SQL and Python skills
- Experience with Infrastructure as Code
- Proficiency in building ETL pipelines
- Experience in logical and physical data modelling
- Proficiency with Git or version control tools
- Experience with cloud-based services
- Attention to detail and data quality commitment
- Strong communication and stakeholder partnering skills
- Fluency in English
- Experience with data-visualisation and dashboards
- Experience in AdTech and audience-activation ecosystems
- Experience with ML technologies and pipelines
- Knowledge of testing strategies like TDD
- Experience with identity graphs, segmentation, or CDPs
- Experience creating and maintaining CI/CD workflows
- Willingness to learn and grow
Tasks
- Collaborate with talented analysts and engineers
- Develop and expand audience capabilities
- Expand the reporting suite
- Support stakeholders as a strategic compass
- Navigate audience growth and segmentation
- Manage audience activation and performance
- Deliver actionable insights to stakeholders
- Shape the digital advertising platform
- Build and scale data products
- Power client-facing advertising services
- Interpret audience and campaign data
- Guide strategic decisions for advertisers
- Deliver clear and compelling insights
- Design and build scalable audience data models
- Maintain data models for segmentation and activation
- Support measurement use cases
- Develop data-driven and intelligent systems
- Build scalable systems focused on quality
- Ensure system observability and security
- Evaluate and monitor existing data sources
- Monitor audience-related products
- Perform regular QA checks for data integrity
- Collaborate with sales, tech, and product teams
- Work with ML teams on audience frameworks
- Design and implement advanced audience dashboards
- Refine audience activation frameworks
- Drive evaluation and delivery of audience solutions
- Support ML and AI initiatives
- Create measurable value for clients
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Terraform
- PySpark
- Git
- AWS
Benefits
Informal Culture
- Collaborative international environment
- Vibrant and inclusive community
Team Events
- Social events and teambuilding
Flexible Working
- Flexible work hours
Purpose-Driven Work
- Autonomy in task management
Other Benefits
- Women in Tech group
- Pride group
Mental Health Support
- Global Employee Assistance Programme
- Calm and Reulay apps
Learning & Development
- Online training videos
About the Company
Sportradar
Industry
Media
Description
The company is a worldwide leader in sports data and audiovisual services for bookmakers, offering data-driven marketing services for betting operators.
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