Lounge by Zalando is an online outlet for fashion and lifestyle products in 17 European countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. However, Lounge by Zalando is so much more than discounts. Our strength lies in our focus on fashion and lifestyle brands: from sought-after labels to niche brands, from famous international names to trendy luxury brands, we make sure to meet the fashion taste of all our customers, who are always on the hunt for the best products at the best prices. Working with our brand partners, we're pioneering innovative supply-chain and production processes and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.
As a Senior Applied Scientist in the Pricing, Product and Consumer Insights (PPCI) team, you will develop and maintain a wide range of ML-based forecasting products throughout the assortment lifecycle, in collaboration with engineers and other applied scientists. These models are used on a day-to-day basis in business processes to make major steering decisions that are crucial for the business.
You will have a unique opportunity to support key business processes and connect with exceptional talents with different backgrounds.
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
Develop ML forecasting models to support a variety of business processes.
Improve the accuracy and stability of existing forecasts.
Build analytical and operational dashboards to enable your team and stakeholders to make data driven decisions.
Contribute to the scientific design of a framework supporting unified decision making across several commercial levers.
Help design forecasting and target setting business processes involving both algorithmic and human actions.
Design and run experiments to test ML model improvements.
You have 3+ years of professional work experience with ML forecasting models.
You have strong programming skills in Python
You have hands-on experience with relevant software technologies: Cloud infrastructure (ideally AWS & Kubernetes), relational database (Redshift). Experience with ETL, data warehouses or data lakes is a big plus (Airflow, DBT).
Preferably, you have:
Experience with data analysis tools (e.g. Pandas, numpy, Plotly, Jupyter Notebooks, Databricks) is desirable.
Experience working closely with other data scientists and machine learning engineers.
Experience with A/B testing
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
Please note that all applications must be completed using the online form - we do not accept applications via email.
Karolina Miernik