Applied Scientist – Marketing & Personalization

Zalando
Anywhere
Workplace: HybridFull timeFunction: Marketing & GrowthExperience: 3-5 yearsEducation: mastersSkills: ["Communication","Problem-solving","Leadership"]

Join the Demand Data & Analytics team to build personalization systems and predictive models for CRM and marketing channels. You’ll develop recommendation models, design experiments, deploy models into production with engineered data pipelines, and translate complex results into actionable business insights, collaborating across engineering, marketing, and analytics to optimize customer value at scale.

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FursaFursa
Zalando
Zalando
2 months ago

Applied Scientist – Marketing & Personalization

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Last checked: 7 hours agoStatus: Live

Job Summary

Join the Demand Data & Analytics team to build personalization systems and predictive models for CRM and marketing channels. You’ll develop recommendation models, design experiments, deploy models into production with engineered data pipelines, and translate complex results into actionable business insights, collaborating across engineering, marketing, and analytics to optimize customer value at scale.
Location: Anywhere
Workplace: Hybrid
Employment Type: Full time
Job Function: Marketing & Growth

Key Responsibilities

  • •Build and own personalization systems and recommendation models (content-based, collaborative filtering, ranking) for emails and push notifications
  • •Drive predictive modeling including CLV prediction, churn, and other propensity models to inform marketing strategies
  • •Design and run rigorous experiments (A/B tests, incrementality) to measure the causal impact of CRM campaigns and personalization initiatives on revenue and customer value
  • •Integrate science into production by partnering with Engineering to establish feature stores, data pipelines and monitoring frameworks
  • •Translate model results and limitations into clear, structured insights that influence campaign and personalization roadmaps

Pay and Benefits

Equity and Bonus:Equity
Perks:Remote WorkPaid LeaveRelocationVolunteering DaysEquity

Key Requirements

  • •Master's degree (or equivalent) in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Engineering or Economics
  • •3–5 years of industry experience, ideally in e-commerce or digital marketing, building and shipping recommendation systems, segmentation models, propensity or predictive LTV models
  • •Proficiency in Python, SQL and PySpark (Databricks) with strong coding standards
  • •Experience with experimentation and applied causal inference, including A/B testing and incrementality testing
  • •Ability to communicate with non-technical stakeholders and bridge science and business
Experience:3-5 yearsE-commerceDigital marketingPersonalizationRecommendation systems
Education:Master's
Skills:CommunicationProblem-solvingLeadership
Languages:English
Tech Stack:PythonSQLPySparkDatabricksA/B testingCausal inference

Company Brief

Zalando
Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2008
WebsiteLinkedIn