THE ROLE & THE TEAM
Lounge by Zalando is the leading online outlet in Europe, offering limited-time exclusive discounts on premium fashion and lifestyle brands. The Personal Relevance team at Lounge leverages data and advanced machine learning techniques to tailor customer experiences and communication.
As a Senior Applied Scientist, you will drive our scientific roadmap, deliver cross-department projects, and work closely with Product Managers, Engineers and other Applied Scientists across Zalando to enhance Lounge's product discovery and customer communication. Your work will create more personalized and engaging experiences for millions of customers across Europe, boosting customer satisfaction and loyalty.
INCLUSIVE BY DESIGN
We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/diversity-inclusion
Our employee resource groups: https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups
WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
Develop new forecasting models or improve existing approaches using scalable techniques.
Extract data for analysis and model development from large, complex datasets to explain demand trends.
Closely work with other applied science and engineering teams to build/reuse scalable, efficient systems that implement prototypes in production.
Refine problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
Drive innovation and best practices in applied research across Zalando's research community.
WE'D LOVE TO MEET YOU IF:
You are experienced in Time Series Forecasting, specifically commercial metrics in platform economy, scenario-based forecasting, capital allocation and budget modelling.
Excellent knowledge of machine learning and statistics with a proven track record in addressing real-world problems using empirical science.
Experience applying theoretical models in an applied environment
3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. PyGAM, Statsmodel, Octave, Matlab, etc.)
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Experience with Databricks and Spark is a plus.
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 flexible hours and up to 60% remote
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 counselling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
ABOUT ZALANDO
It’s the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the starting point for fashion in Europe. We connect customers, brands, and partners across 23 markets.
Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 48 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.
Our values https //jobs.zalando.com/en/our-founding-mindset
do.More - our sustainability strategy https //corporate.zalando.com/en/sustainability
Follow us on Instagram instagram.com/insidezalando
Please note that all applications must be completed using the online form - we do not accept applications via email.