Zalando
Senior Applied Scientist - Partner Tech(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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ZAZalando
Head of Applied Science - Marketing Measurement & Effectiveness(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building scientific engine for capital deployment and investment decisions at fashion outlet. 8+ years leading quantitative teams required. 27-30 days holiday, up to 60% remote.
Requirements
- Masters or PhD in Computer Science, Economics, Mathematics or related quantitative fields
- 8+ years leading Applied Science, Economics, or Machine Learning Teams
- Expertise collaborating with Engineering teams to deploy solutions at scale in low latency environments
- Data-driven mindset
- Challenging the status quo
- Driving platform ROIs
- Understanding deterministic tracking limitations
- Leveraging probabilistic modeling and uncertainties
- Honing trustworthy estimates and robust systems
- Explaining complex concepts to non-technical audiences
- Building models to drive profitable revenue growth
- Commercial acumen
Tasks
- Build scientific engine for capital deployment
- Lead Applied Science team in Lounge
- Enable Marketing, CRM, and Commercial Planning & Steering
- Develop frameworks for investment decisions
- Optimize brand, Meta, and CRM campaigns
- Create best-in-class estimation system
- Drive adoption and governance
- Enhance decision-making
- Treat 24-country footprint as dynamic financial portfolio
- Leverage advanced predictive analytics
- Build tooling for business and financial trade-offs
- Own scientific roadmap for marketing effectiveness
- Deploy continuous geo-experiments
- Conduct quasi-experimental methods
- Estimate incremental yield
- Calibrate MMM and MTA
- Develop low-latency infrastructure
- Design incremental attribution models
- Reduce bias in legacy methods
- Increase precision
- Partner with commercial decision-making teams
- Influence forecasting and budgeting frameworks
- Supply Customer Data and Insights
- Maintain and enhance data infrastructure
- Embed predictive frameworks in daily operations
- Collaborate across functions
- Translate data into commercial recommendations
- Understand flash-sale economics
- Advocate for financial trade-offs
- Maximize profitability and growth
- Lead unified measurement framework evolution
- Integrate Bayesian MMM, geo-experimentation, MTA
- Connect data science with commercial execution
- Operationalize models for daily business steering
- Optimize capital allocation
- Guide performance and brand marketing budgets
- Manage, mentor, and hire Data Scientists and Analysts
- Translate business questions into advanced analytics
- Design continuous testing pipeline
- Provide trustworthy campaign lift estimates
- Collaborate with ML engineering and ad-tech teams
- Optimize platform bidding algorithms
- Maximize long-term customer value
Work Experience
- 8 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando 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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ZAZalando
Head of Applied Science - Marketing Measurement & Effectiveness(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building scientific engine for capital deployment and investment decisions at fashion outlet. 8+ years leading quantitative teams required. 27-30 days holiday, up to 60% remote.
Requirements
- Masters or PhD in Computer Science, Economics, Mathematics or related quantitative fields
- 8+ years leading Applied Science, Economics, or Machine Learning Teams
- Expertise collaborating with Engineering teams to deploy solutions at scale in low latency environments
- Data-driven mindset
- Challenging the status quo
- Driving platform ROIs
- Understanding deterministic tracking limitations
- Leveraging probabilistic modeling and uncertainties
- Honing trustworthy estimates and robust systems
- Explaining complex concepts to non-technical audiences
- Building models to drive profitable revenue growth
- Commercial acumen
Tasks
- Build scientific engine for capital deployment
- Lead Applied Science team in Lounge
- Enable Marketing, CRM, and Commercial Planning & Steering
- Develop frameworks for investment decisions
- Optimize brand, Meta, and CRM campaigns
- Create best-in-class estimation system
- Drive adoption and governance
- Enhance decision-making
- Treat 24-country footprint as dynamic financial portfolio
- Leverage advanced predictive analytics
- Build tooling for business and financial trade-offs
- Own scientific roadmap for marketing effectiveness
- Deploy continuous geo-experiments
- Conduct quasi-experimental methods
- Estimate incremental yield
- Calibrate MMM and MTA
- Develop low-latency infrastructure
- Design incremental attribution models
- Reduce bias in legacy methods
- Increase precision
- Partner with commercial decision-making teams
- Influence forecasting and budgeting frameworks
- Supply Customer Data and Insights
- Maintain and enhance data infrastructure
- Embed predictive frameworks in daily operations
- Collaborate across functions
- Translate data into commercial recommendations
- Understand flash-sale economics
- Advocate for financial trade-offs
- Maximize profitability and growth
- Lead unified measurement framework evolution
- Integrate Bayesian MMM, geo-experimentation, MTA
- Connect data science with commercial execution
- Operationalize models for daily business steering
- Optimize capital allocation
- Guide performance and brand marketing budgets
- Manage, mentor, and hire Data Scientists and Analysts
- Translate business questions into advanced analytics
- Design continuous testing pipeline
- Provide trustworthy campaign lift estimates
- Collaborate with ML engineering and ad-tech teams
- Optimize platform bidding algorithms
- Maximize long-term customer value
Work Experience
- 8 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando 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
Zalando
Industry
Retail
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Not a perfect match?
- Zalando
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