Zalando

1 month ago

Applied Scientist – Marketing & Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 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

Website LinkedIn

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Zalando

1 month ago

Applied Scientist – Marketing & Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn