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ZAZalando

Head of Applied Science - Marketing Measurement & Effectiveness(m/w/x)

Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science

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

  • Englischverhandlungssicher

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
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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