Dein persönlicher KI-Karriere-Agent
Head of Applied Science - Marketing Measurement & Effectiveness(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 8 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Machine Learning
Benefits
Mehr Urlaubstage
- 27-30 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Sonstige Zulagen
- Work from abroad allowance
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- Employee discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Noch nicht perfekt?
- ZalandoVollzeitmit HomeofficeSeniorBerlin
- Zalando Marketing Services GmbH
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Head of Applied Science - Marketing Measurement & Effectiveness(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 8 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Machine Learning
Benefits
Mehr Urlaubstage
- 27-30 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Sonstige Zulagen
- Work from abroad allowance
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- Employee discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Über das Unternehmen
Zalando
Branche
Retail
Beschreibung
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Noch nicht perfekt?
- Zalando
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Senior Principal Applied Scientist - Catalog and Search Ranking(m/w/x)
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