Applied Scientist – Marketing & Personalization

Applied Scientist – Marketing & Personalization (all genders)You will join the Demand Data & Analytics team at Lounge by Zalando, the scientific brain powering our Marketing Department. By blending statistical rigor with Machine Learning, we determine how we talk to millions of customers every day across all our marketing channels.We are a collaborative team that believes great science happens when ideas are shared openly, ownership is distributed, and engineers and scientists grow together. You will work alongside other Applied Scientists, Software Engineers, Marketing Managers and Analysts in a full-cycle environment, from discovery to production.INCLUSIVE BY DESIGNAt Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. do.BETTER - our diversity & inclusion strategy: Our employee resource groups: WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)Build and own personalization systems: develop recommendation models (content-based, collaborative filtering, ranking) that directly shape what customers see in emails and push notificationsDrive predictive modeling; lead CLV prediction, churn and other propensity models that turn complex data into actionable strategies for our Marketing teamsDesign rigorous experiments: own A/B tests and incrementality experiments to measure the true causal impact of CRM campaigns and personalization initiatives on revenue and long-term customer valueIntegrate science into production: partner with Engineering to bring models into production, defining feature stores, data pipelines and monitoring frameworksBridge science and business: translate model results and their limitations into clear, structured insights that influence campaign and personalization roadmapsElevate the team: actively participate in code reviews, share ideas in a culture of open collaboration, mentor peers and be mentored in returnWE’D LOVE TO MEET YOU IFYou hold a Master's degree (or equivalent) in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Engineering or EconomicsYou have 3–5 years of industry experience, ideally in e-commerce or digital marketing, building and shipping recommendation systems, segmentation models, propensity or predictive LTV modelsYou are comfortable with both statistical foundations and ML techniques. Deep learning experience is a genuine plusYou are proficient in Python, SQL and PySpark (Databricks) and hold yourself to high coding standardsYou understand experimentation and applied causal inference, with hands-on experience in A/B testing and incrementality testingYou enjoy communicating with non-technical stakeholders by proactively conveying ideas, managing expectations and acting as a bridge between science and businessYou thrive in an environment where ideas are challenged respectfully, ownership is real, and the team's success matters as much as your ownOUR OFFERZalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.Employee shares program40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners2 paid volunteering days a yearHybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaborationWork from abroad for up to 30 working days a year27 days of vacation a year to startRelocation assistance available (subject to prior agreement)Family services, including counseling and supportHealth and wellbeing options (including Gympass)Mental health support and coaching availableDrive your development through our training platform and biannual peer-to-peer reviewLearn all about Zalando and our values here: RecruiterOrjada [email protected] note that all applications from this job page must be completed using the online form - we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.If you have any questions about our recruitment process, please take a look at our .ApplyAbout ZalandoFounded in Berlin in 2008, Zalando is the leading European technology platform for fashion and lifestyle. Connecting 62 million active customers with more than 7,000 brands across 29 markets, our operations are built on a unique AI-powered data and infrastructure platform. For our customers, our multi-app approach - comprising Zalando, ABOUT YOU, and Lounge by Zalando - delivers an inspiring, highly personalized shopping experience, serving different customers with different needs. For our partners, we are building the operating system for e-commerce. Through ZEOS, Tradebyte, and SCAYLE, we open our logistics, software, and service capabilities to brands and retailers, enabling them to seamlessly scale their businesses across borders.Back to job descriptionApplied Scientist – Marketing & Personalization (all genders)You will join the Demand Data & Analytics team at Lounge by Zalando, the scientific brain powering our Marketing Department. By blending statistical rigor with Machine Learning, we determine how we talk to millions of customers every day across all our marketing channels.We are a collaborative team that believes great science happens when ideas are shared openly, ownership is distributed, and engineers and scientists grow together. You will work alongside other Applied Scientists, Software Engineers, Marketing Managers and Analysts in a full-cycle environment, from discovery to production.INCLUSIVE BY DESIGNAt Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. do.BETTER - our diversity & inclusion strategy: Our employee resource groups: WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)Build and own personalization systems: develop recommendation models (content-based, collaborative filtering, ranking) that directly shape what customers see in emails and push notificationsDrive predictive modeling; lead CLV prediction, churn and other propensity models that turn complex data into actionable strategies for our Marketing teamsDesign rigorous experiments: own A/B tests and incrementality experiments to measure the true causal impact of CRM campaigns and personalization initiatives on revenue and long-term customer valueIntegrate science into production: partner with Engineering to bring models into production, defining feature stores, data pipelines and monitoring frameworksBridge science and business: translate model results and their limitations into clear, structured insights that influence campaign and personalization roadmapsElevate the team: actively participate in code reviews, share ideas in a culture of open collaboration, mentor peers and be mentored in returnWE’D LOVE TO MEET YOU IFYou hold a Master's degree (or equivalent) in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Engineering or EconomicsYou have 3–5 years of industry experience, ideally in e-commerce or digital marketing, building and shipping recommendation systems, segmentation models, propensity or predictive LTV modelsYou are comfortable with both statistical foundations and ML techniques. Deep learning experience is a genuine plusYou are proficient in Python, SQL and PySpark (Databricks) and hold yourself to high coding standardsYou understand experimentation and applied causal inference, with hands-on experience in A/B testing and incrementality testingYou enjoy communicating with non-technical stakeholders by proactively conveying ideas, managing expectations and acting as a bridge between science and businessYou thrive in an environment where ideas are challenged respectfully, ownership is real, and the team's success matters as much as your ownOUR OFFERZalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.Employee shares program40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners2 paid volunteering days a yearHybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaborationWork from abroad for up to 30 working days a year27 days of vacation a year to startRelocation assistance available (subject to prior agreement)Family services, including counseling and supportHealth and wellbeing options (including Gympass)Mental health support and coaching availableDrive your development through our training platform and biannual peer-to-peer reviewLearn all about Zalando and our values here: RecruiterOrjada [email protected] note that all applications from this job page must be completed using the online form - we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.If you have any questions about our recruitment process, please take a look at our .Apply