Meister
Senior Data Analyst(m/w/x)
Full-timeRemoteSenior
Wien
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SPSportradar
Senior Data Scientist(m/w/x)
Wien
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- SQL
- Python
- Terraform
- PySpark
- Git
- AWS
- CI/CD
Benefits
Flexible Working
- Flexible working hours
Informal Culture
- Collaborative environment
- Vibrant and inclusive community
Team Events
- Social events
- Teambuilding
Other Benefits
- Women in Tech group
- Pride group
- Reulay app
Mental Health Support
- Global Employee Assistance Programme
- Calm app
Learning & Development
- Online training videos
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sportradar and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SPSportradar
Senior Data Scientist(m/w/x)
Wien
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- SQL
- Python
- Terraform
- PySpark
- Git
- AWS
- CI/CD
Benefits
Flexible Working
- Flexible working hours
Informal Culture
- Collaborative environment
- Vibrant and inclusive community
Team Events
- Social events
- Teambuilding
Other Benefits
- Women in Tech group
- Pride group
- Reulay app
Mental Health Support
- Global Employee Assistance Programme
- Calm app
Learning & Development
- Online training videos
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sportradar and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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