Job Description

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 DESIGN

At 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: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/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 notifications

• Drive predictive modeling; lead CLV prediction, churn and other propensity models that turn complex data into actionable strategies for our Marketing teams

• Design 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 value

• Integrate science into production: partner with Engineering to bring models into production, defining feature stores, data pipelines and monitoring frameworks

• Bridge science and business: translate model results and their limitations into clear, structured insights that influence campaign and personalization roadmaps

• Elevate the team: actively participate in code reviews, share ideas in a culture of open collaboration, mentor peers and be mentored in return

WE’D LOVE TO MEET YOU IF

• You hold a Master's degree (or equivalent) in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Engineering or Economics

• You 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 models

• You are comfortable with both statistical foundations and ML techniques. Deep learning experience is a genuine plus

• You are proficient in Python, SQL and PySpark (Databricks) and hold yourself to high coding standards

• You understand experimentation and applied causal inference, with hands-on experience in A/B testing and incrementality testing

• You enjoy communicating with non-technical stakeholders by proactively conveying ideas, managing expectations and acting as a bridge between science and business

• You thrive in an environment where ideas are challenged respectfully, ownership is real, and the team's success matters as much as your own

OUR OFFER

Zalando 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 program

• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners

• 2 paid volunteering days a year

• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration

• Work from abroad for up to 30 working days a year

• 27 days of vacation a year to start

• Relocation assistance available (subject to prior agreement)

• Family services, including counseling and support

• Health and wellbeing options (including Gympass)

• Mental health support and coaching available

• Drive your development through our training platform and biannual peer-to-peer review

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us