Zalando's Performance Marketing department is creating and deepening relationships with consumers outside of Zalando premises by showcasing our digital ads. We’re marketing Zalando’s flawless choice, our best in fashion inspiration and the shopping convenience our customers love. We use the latest technology to make our ads relevant and engaging to consumers while fully respecting customer privacy.
Our Applied Science team for Performance Marketing works closely with product management, engineering, and analytics to enhance our industry-leading performance marketing engine. We primarily focus on developing systems that accurately measure the incremental value of marketing activities and optimise marketing investments.
As an Applied Scientist in this role, you'll play a crucial part in maximising the efficiency of our substantial marketing budget across major platforms like Google and Meta. Your expertise will be instrumental in continuously assessing and attributing the incremental return on every Euro spent and ensuring that our marketing investments are strategically allocated for optimal results.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
We are seeking a dynamic individual to tackle complex challenges in performance marketing measurement and optimization. The ideal candidate is a quick learner and innovative problem-solver with a quantitative background in fields such as statistics, mathematics, econometrics, or machine learning. The ideal candidate can work in a complex data environment and has machine learning experience.
You will join a team of Applied Scientists working on
Measuring the impact of marketing through the entire marketing funnel
Optimizing the efficiency of the investment of performance marketing.
Optimizing the steering of marketing investment at Zalando to make sure we meet profitability targets.
Developing solutions that optimize the marketing investments at product level.
To address those problems, the team uses:
Complex A/B testing set-up
Causal inference
Classical ML modelling on tabular data / Time series forecasting
A lot of data exploration and analysis
We work in a complex large data environment that requires advanced technical and coding skills. We expect the new joiner to work on measurement and predictive capabilities for performance marketing.
WE'D LOVE TO MEET YOU IF
In order to succeed in this role, we are looking for:
[Must have]
Strong academic background in a highly quantitative field (statistics, mathematics, machine learning, etc).
Proven track record of independently tackling concrete research problems and autonomously finding a path to a solution.
Experience in building machine learning algorithms
Data intuition: experience working with large datasets, ability to identify appropriate statistical modelling assumptions and approaches.
Good coding skills in Python and SQL, writing unit/integration tests and proficient in code documentation and packaging.
Good communication skills to translate (even complex) analytical / engineering decisions and outcomes to both peers and a broader, non-technical audience.
[Good to have]
Experience with common big data processing and manipulation tools such as PySpark and SQL.
Experience in the deployment of ML model in production.
Experience with orchestration tools (for instance, Airflow).
Experience in time series analysis and forecasting.
Knowledge of A|B testing, causal inference.
Knowledge of performance marketing.
WHY JOIN US?
You'll shape the future of performance marketing as Zalando transforms into the ecosystem for fashion and lifestyle e-commerce.
You’ll work in a cross-functional environment, with experienced product managers, engineers and analysts collaborating with you along your research journey.
You'll have access to cutting-edge infrastructure and massive datasets, and support from a strong engineering team for running your products in production.
Your work will blend scientific rigor with real-world business impact, celebrated globally.
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 60% (or more) 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
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
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