GetYourGuide
Staff Data Analyst, Marketing Analytics(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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GEGetYourGuide
Staff Data Scientist(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Nejo AI Summary
Developing ML pipelines for bidding, targeting, and personalization at global travel platform. Market and growth experience essential. Work from anywhere 30 days/year, annual personal growth budget.
Requirements
- Proven track record as Staff/Principal Data Scientist
- Market and growth experience essential
- Strong domain knowledge in marketing analytics, customer acquisition, or revenue optimization
- Mastery of Python, SQL
- Mastery of modern big-data tools (Spark, Databricks)
- Comfort shipping production-grade ML services
- Deep expertise in statistical testing, causal inference, online experimentation
- Hands-on experience in marketing growth areas (paid search, CRM, attribution)
- Advanced degree in quantitative field or equivalent experience
- Strong communication skills for technical/non-technical audiences
- Experience with cloud orchestration and CI/CD (AWS, Airflow, Kubernetes)
- Familiarity with Snowflake, MLflow, or large-scale feature stores
- Record of mentoring senior individual contributors
- Fostering culture of psychological safety
- Publications or conference presentations
Tasks
- Define, develop, and own data products
- Translate growth strategies into technical roadmaps
- Align squads and stakeholders on business outcomes
- Design, deploy, and monitor ML pipelines
- Support bidding, targeting, and personalization
- Introduce best practices and code quality standards
- Implement robust observability in data science
- Champion experimentation through A/B testing
- Conduct causal-inference analysis
- Develop frameworks for rapid iteration
- Advance customer lifetime value models
- Improve attribution models for marketing investments
- Drive cross-functional collaboration
- Ensure data products deliver business value
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Spark
- Databricks
- AWS
- Airflow
- Kubernetes
- Snowflake
- MLflow
Benefits
Flexible Working
- Hybrid work approach
Additional Allowances
- Annual personal growth budget
Mentorship & Coaching
- Mentorship programs
Workation & Sabbatical
- Work from anywhere (30 days/year)
Team Events
- Quarterly team events
- Yearly company events
Public Transport Subsidies
- Monthly transportation budget
Healthcare & Fitness
- Monthly fitness budget
- Health and wellness benefits
Corporate Discounts
- Discounts on activities
Learning & Development
- Language reimbursement
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of GetYourGuide 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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GEGetYourGuide
Staff Data Scientist(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Nejo AI Summary
Developing ML pipelines for bidding, targeting, and personalization at global travel platform. Market and growth experience essential. Work from anywhere 30 days/year, annual personal growth budget.
Requirements
- Proven track record as Staff/Principal Data Scientist
- Market and growth experience essential
- Strong domain knowledge in marketing analytics, customer acquisition, or revenue optimization
- Mastery of Python, SQL
- Mastery of modern big-data tools (Spark, Databricks)
- Comfort shipping production-grade ML services
- Deep expertise in statistical testing, causal inference, online experimentation
- Hands-on experience in marketing growth areas (paid search, CRM, attribution)
- Advanced degree in quantitative field or equivalent experience
- Strong communication skills for technical/non-technical audiences
- Experience with cloud orchestration and CI/CD (AWS, Airflow, Kubernetes)
- Familiarity with Snowflake, MLflow, or large-scale feature stores
- Record of mentoring senior individual contributors
- Fostering culture of psychological safety
- Publications or conference presentations
Tasks
- Define, develop, and own data products
- Translate growth strategies into technical roadmaps
- Align squads and stakeholders on business outcomes
- Design, deploy, and monitor ML pipelines
- Support bidding, targeting, and personalization
- Introduce best practices and code quality standards
- Implement robust observability in data science
- Champion experimentation through A/B testing
- Conduct causal-inference analysis
- Develop frameworks for rapid iteration
- Advance customer lifetime value models
- Improve attribution models for marketing investments
- Drive cross-functional collaboration
- Ensure data products deliver business value
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Spark
- Databricks
- AWS
- Airflow
- Kubernetes
- Snowflake
- MLflow
Benefits
Flexible Working
- Hybrid work approach
Additional Allowances
- Annual personal growth budget
Mentorship & Coaching
- Mentorship programs
Workation & Sabbatical
- Work from anywhere (30 days/year)
Team Events
- Quarterly team events
- Yearly company events
Public Transport Subsidies
- Monthly transportation budget
Healthcare & Fitness
- Monthly fitness budget
- Health and wellness benefits
Corporate Discounts
- Discounts on activities
Learning & Development
- Language reimbursement
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of GetYourGuide 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.
About the Company
GetYourGuide
Industry
Tourism
Description
GetYourGuide is the globally leading marketplace for unforgettable travel experiences, helping travelers discover the best things to do.
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