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Senior Data Scientist(m/w/x)
Designing scalable audience data models and interpreting campaign data for a global sports technology provider. 3+ years analytics engineering or data engineering experience required. Flexible working hours, vibrant community.
Anforderungen
- 3+ years Analytics Engineering, Data Engineering, or related field experience
- Excellent SQL and Python skills
- Infrastructure as Code (Terraform) experience
- Strong ETL pipeline building, ideally with PySpark
- Solid logical and physical data modelling experience
- Git or similar version control tools proficiency
- Cloud-based services experience, preferably AWS
- High attention to detail and data quality commitment
- Strong communication and stakeholder partnering skills
- Fluent English
- Datavisualisation tools and stakeholder dashboard building experience
- AdTech and audience activation ecosystems experience
- ML technologies and production ML pipelines experience
- Testing strategies knowledge, such as TDD
- Identity graphs, segmentation frameworks, or CDPs experience
- CI/CD workflows creation and maintenance experience
- Willingness to learn and grow
Aufgaben
- Interpret audience and campaign data
- Guide strategic decisions with insights
- Design scalable audience data models
- Support segmentation, activation, and measurement
- Build and maintain data models
- Develop data-driven systems
- Focus on quality, observability, and security
- Evaluate existing data sources
- Monitor audience-related products
- Ensure data integrity and reliability
- Collaborate with sales, tech, product, and ML teams
- Design advanced audience dashboards
- Implement audience activation frameworks
- Refine data-driven solutions
- Drive evaluation of audience-focused solutions
- Support ML and AI initiatives
- Create measurable value for clients
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- SQL
- Python
- Terraform
- PySpark
- Git
- AWS
- CI/CD
Benefits
Flexibles Arbeiten
- Flexible working hours
Lockere Unternehmenskultur
- Collaborative environment
- Vibrant and inclusive community
Team Events & Ausflüge
- Social events
- Teambuilding
Sonstige Vorteile
- Women in Tech group
- Pride group
- Reulay app
Mentale Gesundheitsförderung
- Global Employee Assistance Programme
- Calm app
Weiterbildungsangebote
- Online training videos
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Senior Data Scientist(m/w/x)
Designing scalable audience data models and interpreting campaign data for a global sports technology provider. 3+ years analytics engineering or data engineering experience required. Flexible working hours, vibrant community.
Anforderungen
- 3+ years Analytics Engineering, Data Engineering, or related field experience
- Excellent SQL and Python skills
- Infrastructure as Code (Terraform) experience
- Strong ETL pipeline building, ideally with PySpark
- Solid logical and physical data modelling experience
- Git or similar version control tools proficiency
- Cloud-based services experience, preferably AWS
- High attention to detail and data quality commitment
- Strong communication and stakeholder partnering skills
- Fluent English
- Datavisualisation tools and stakeholder dashboard building experience
- AdTech and audience activation ecosystems experience
- ML technologies and production ML pipelines experience
- Testing strategies knowledge, such as TDD
- Identity graphs, segmentation frameworks, or CDPs experience
- CI/CD workflows creation and maintenance experience
- Willingness to learn and grow
Aufgaben
- Interpret audience and campaign data
- Guide strategic decisions with insights
- Design scalable audience data models
- Support segmentation, activation, and measurement
- Build and maintain data models
- Develop data-driven systems
- Focus on quality, observability, and security
- Evaluate existing data sources
- Monitor audience-related products
- Ensure data integrity and reliability
- Collaborate with sales, tech, product, and ML teams
- Design advanced audience dashboards
- Implement audience activation frameworks
- Refine data-driven solutions
- Drive evaluation of audience-focused solutions
- Support ML and AI initiatives
- Create measurable value for clients
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- SQL
- Python
- Terraform
- PySpark
- Git
- AWS
- CI/CD
Benefits
Flexibles Arbeiten
- Flexible working hours
Lockere Unternehmenskultur
- Collaborative environment
- Vibrant and inclusive community
Team Events & Ausflüge
- Social events
- Teambuilding
Sonstige Vorteile
- Women in Tech group
- Pride group
- Reulay app
Mentale Gesundheitsförderung
- Global Employee Assistance Programme
- Calm app
Weiterbildungsangebote
- Online training videos
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Sportradar
Branche
Media
Beschreibung
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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